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<small class="small-text hero-entry hero-entry-kicker">Portfolio de proyectos <span class="mobile-block">BI · ML · Python · Dashboards</span></small>
<h1 class="pl-hero-title hero-entry hero-entry-title">
<span class="hero-line"><span class="hero-line-row">Transformo</span><span class="hero-line-row">datos en</span></span>
<span aria-label="evidencia, modelos, dashboards, decisiones y patrones" class="hero-rotator">
<span>evidencia</span>
<span>modelos</span>
<span>dashboards</span>
<span>decisiones</span>
<span class="hero-rotator-word-patterns">patrones</span>
</span>
</h1>
<p class="hero-entry hero-entry-copy">Patrones Lab es un laboratorio de análisis de datos aplicado a fenómenos cotidianos y reales.<br/><br/>Aquí se trabajan proyectos independientes construidos a partir de datos públicos, con foco en detectar patrones, describir comportamientos y comunicar los hallazgos con su contexto.<br/><br/>El objetivo es plantear preguntas, preparar datos, construir análisis claros y generar resultados visuales.</p>
<div aria-label="Tecnologías utilizadas" class="hero-tech-marquee hero-entry hero-entry-buttons">
<div class="hero-tech-marquee-mask">
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<span class="tech-logo-card tech-logo-card-airflow">
<span class="tech-logo-icon-wrap">
<img alt="Airflow" class="tech-logo-img tech-logo-img-airflow" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/airflow.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Airflow</strong>
<small>Orquestación</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-sql-server">
<span class="tech-logo-icon-wrap">
<img alt="SQL Server" class="tech-logo-img tech-logo-img-sql-server" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/sql-server.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>SQL Server</strong>
<small>Base de datos</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-qlik">
<span class="tech-logo-icon-wrap">
<img alt="Qlik Cloud" class="tech-logo-img tech-logo-img-qlik" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/qlik-cloud.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Qlik Cloud</strong>
<small>Reporting</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-power-bi">
<span class="tech-logo-icon-wrap">
<img alt="Power BI" class="tech-logo-img tech-logo-img-power-bi" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/power-bi.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Power BI</strong>
<small>Reporting</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-spss">
<span class="tech-logo-icon-wrap">
<img alt="SPSS Modeler" class="tech-logo-img tech-logo-img-spss" decoding="async" fetchpriority="low" height="128" loading="lazy" src="images/patrones/tech-icons/spss-modeler.svg" width="128"/>
</span>
<span class="tech-logo-text">
<strong>SPSS Modeler</strong>
<small>Machine Learning</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-looker">
<span class="tech-logo-icon-wrap">
<img alt="Looker Studio" class="tech-logo-img tech-logo-img-looker" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/looker-studio.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Looker Studio</strong>
<small>Reporting</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-python">
<span class="tech-logo-icon-wrap">
<img alt="Python" class="tech-logo-img tech-logo-img-python" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/python.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Python</strong>
<small>Analytics</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-numpy">
<span class="tech-logo-icon-wrap">
<img alt="NumPy" class="tech-logo-img tech-logo-img-numpy" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/numpy.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>NumPy</strong>
<small>Cálculo numérico</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-scikit">
<span class="tech-logo-icon-wrap">
<img alt="Scikit-learn" class="tech-logo-img tech-logo-img-scikit" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/scikit-learn.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Scikit-learn</strong>
<small>Machine Learning</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-matplotlib">
<span class="tech-logo-icon-wrap">
<img alt="Matplotlib" class="tech-logo-img tech-logo-img-matplotlib" decoding="async" fetchpriority="low" height="128" loading="lazy" src="images/patrones/tech-icons/matplotlib.svg" width="128"/>
</span>
<span class="tech-logo-text">
<strong>Matplotlib</strong>
<small>Visualización</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-pandas">
<span class="tech-logo-icon-wrap">
<img alt="Pandas" class="tech-logo-img tech-logo-img-pandas" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/pandas.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Pandas</strong>
<small>Dataframes</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-plotly">
<span class="tech-logo-icon-wrap">
<img alt="Plotly" class="tech-logo-img tech-logo-img-plotly" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/plotly.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Plotly</strong>
<small>Visualización</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-snowflake">
<span class="tech-logo-icon-wrap">
<img alt="Snowflake" class="tech-logo-img tech-logo-img-snowflake" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/snowflake.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Snowflake</strong>
<small>Warehouse Cloud</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-databricks">
<span class="tech-logo-icon-wrap">
<img alt="Databricks" class="tech-logo-img tech-logo-img-databricks" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/databricks.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Databricks</strong>
<small>Lakehouse</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-dbt">
<span class="tech-logo-icon-wrap">
<img alt="dbt" class="tech-logo-img tech-logo-img-dbt" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/dbt.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>dbt</strong>
<small>Transformación</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-airflow">
<span class="tech-logo-icon-wrap">
<img alt="Airflow" class="tech-logo-img tech-logo-img-airflow" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/airflow.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Airflow</strong>
<small>Orquestación</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-sql-server">
<span class="tech-logo-icon-wrap">
<img alt="SQL Server" class="tech-logo-img tech-logo-img-sql-server" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/sql-server.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>SQL Server</strong>
<small>Base de datos</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-qlik">
<span class="tech-logo-icon-wrap">
<img alt="Qlik Cloud" class="tech-logo-img tech-logo-img-qlik" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/qlik-cloud.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Qlik Cloud</strong>
<small>Reporting</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-power-bi">
<span class="tech-logo-icon-wrap">
<img alt="Power BI" class="tech-logo-img tech-logo-img-power-bi" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/power-bi.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Power BI</strong>
<small>Reporting</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-spss">
<span class="tech-logo-icon-wrap">
<img alt="SPSS Modeler" class="tech-logo-img tech-logo-img-spss" decoding="async" fetchpriority="low" height="128" loading="lazy" src="images/patrones/tech-icons/spss-modeler.svg" width="128"/>
</span>
<span class="tech-logo-text">
<strong>SPSS Modeler</strong>
<small>Machine Learning</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-looker">
<span class="tech-logo-icon-wrap">
<img alt="Looker Studio" class="tech-logo-img tech-logo-img-looker" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/looker-studio.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Looker Studio</strong>
<small>Reporting</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-python">
<span class="tech-logo-icon-wrap">
<img alt="Python" class="tech-logo-img tech-logo-img-python" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/python.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Python</strong>
<small>Analytics</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-numpy">
<span class="tech-logo-icon-wrap">
<img alt="NumPy" class="tech-logo-img tech-logo-img-numpy" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/numpy.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>NumPy</strong>
<small>Cálculo numérico</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-scikit">
<span class="tech-logo-icon-wrap">
<img alt="Scikit-learn" class="tech-logo-img tech-logo-img-scikit" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/scikit-learn.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Scikit-learn</strong>
<small>Machine Learning</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-matplotlib">
<span class="tech-logo-icon-wrap">
<img alt="Matplotlib" class="tech-logo-img tech-logo-img-matplotlib" decoding="async" fetchpriority="low" height="128" loading="lazy" src="images/patrones/tech-icons/matplotlib.svg" width="128"/>
</span>
<span class="tech-logo-text">
<strong>Matplotlib</strong>
<small>Visualización</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-pandas">
<span class="tech-logo-icon-wrap">
<img alt="Pandas" class="tech-logo-img tech-logo-img-pandas" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/pandas.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Pandas</strong>
<small>Dataframes</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-plotly">
<span class="tech-logo-icon-wrap">
<img alt="Plotly" class="tech-logo-img tech-logo-img-plotly" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/plotly.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Plotly</strong>
<small>Visualización</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-snowflake">
<span class="tech-logo-icon-wrap">
<img alt="Snowflake" class="tech-logo-img tech-logo-img-snowflake" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/snowflake.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Snowflake</strong>
<small>Warehouse Cloud</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-databricks">
<span class="tech-logo-icon-wrap">
<img alt="Databricks" class="tech-logo-img tech-logo-img-databricks" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/databricks.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>Databricks</strong>
<small>Lakehouse</small>
</span>
</span>
<span class="tech-logo-card tech-logo-card-dbt">
<span class="tech-logo-icon-wrap">
<img alt="dbt" class="tech-logo-img tech-logo-img-dbt" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/dbt.svg" width="24"/>
</span>
<span class="tech-logo-text">
<strong>dbt</strong>
<small>Transformación</small>
</span>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</div></section>
<section aria-labelledby="about-title" class="about-profile-section" id="about">
<div class="container">
<div class="about-profile-layout">
<div class="about-profile-top">
<header class="about-profile-heading">
<small class="section-kicker">SOBRE MÍ</small>
<h2 class="about-profile-title" id="about-title">Datos, negocio y modelos</h2>
</header>
<a aria-label="Abrir el perfil de Malcolm Di Pietro Cagliari en LinkedIn, abre en una pestaña nueva" class="about-profile-portrait" href="https://www.linkedin.com/in/malcolmdpc" rel="noopener noreferrer" target="_blank">
<img alt="Retrato profesional de Malcolm Di Pietro Cagliari" decoding="async" height="600" loading="lazy" src="images/patrones/about/malcolm-di-pietro-cagliari-about.webp" width="600"/>
</a>
</div>
<div class="about-profile-copy">
<p>Soy <strong class="about-profile-name">Malcolm Di Pietro Cagliari</strong>, <strong>actuario</strong> y profesional de <strong>Data & Analytics</strong>. Mi trayectoria combina <strong>Business Intelligence</strong>, reporting corporativo, modelado de datos y <strong>analítica predictiva</strong>, con experiencia en sectores como banca, seguros y transporte aéreo.</p>
<p>Me especializo en <strong>conectar necesidades de negocio</strong> con soluciones basadas en datos: definir <strong>KPIs</strong>, estructurar información, construir <strong>dashboards</strong> y desarrollar <strong>modelos</strong> que ayuden a comprender mejor lo que ocurre y a tomar decisiones con mayor contexto.</p>
</div>
<div aria-label="Ejes profesionales" class="about-profile-axes">
<button aria-expanded="false" aria-label="Mostrar descripción de Negocio y datos" class="about-profile-axis" data-label-close="Ocultar descripción de Negocio y datos" data-label-open="Mostrar descripción de Negocio y datos" type="button">
<span class="about-profile-axis-inner">
<span class="about-profile-axis-face about-profile-axis-front"><span aria-hidden="true" class="about-profile-axis-visual"><img alt="" decoding="async" height="600" loading="lazy" src="images/patrones/about/card-art/negocio-datos.webp" width="900"/></span><span class="about-profile-axis-title">Negocio y datos</span></span>
<span aria-hidden="true" class="about-profile-axis-face about-profile-axis-back"><span class="about-profile-axis-description">Traducción de necesidades operativas en indicadores, reglas y soluciones analíticas.</span></span>
</span>
</button>
<button aria-expanded="false" aria-label="Mostrar descripción de Business Intelligence" class="about-profile-axis" data-label-close="Ocultar descripción de Business Intelligence" data-label-open="Mostrar descripción de Business Intelligence" type="button">
<span class="about-profile-axis-inner">
<span class="about-profile-axis-face about-profile-axis-front"><span aria-hidden="true" class="about-profile-axis-visual"><img alt="" decoding="async" height="600" loading="lazy" src="images/patrones/about/card-art/business-intelligence.webp" width="900"/></span><span class="about-profile-axis-title">Business Intelligence</span></span>
<span aria-hidden="true" class="about-profile-axis-face about-profile-axis-back"><span class="about-profile-axis-description">Reporting, dashboards, KPIs y seguimiento de información para distintos niveles de gestión.</span></span>
</span>
</button>
<button aria-expanded="false" aria-label="Mostrar descripción de Analítica y Machine Learning" class="about-profile-axis" data-label-close="Ocultar descripción de Analítica y Machine Learning" data-label-open="Mostrar descripción de Analítica y Machine Learning" type="button">
<span class="about-profile-axis-inner">
<span class="about-profile-axis-face about-profile-axis-front"><span aria-hidden="true" class="about-profile-axis-visual"><img alt="" decoding="async" height="600" loading="lazy" src="images/patrones/about/card-art/analitica-machine-learning.webp" width="900"/></span><span class="about-profile-axis-title">Analítica y Machine Learning</span></span>
<span aria-hidden="true" class="about-profile-axis-face about-profile-axis-back"><span class="about-profile-axis-description">Modelos predictivos, segmentación y análisis de patrones aplicados a problemas concretos.</span></span>
</span>
</button>
</div>
<div class="about-profile-actions">
<a aria-label="Ver mi trayectoria en LinkedIn, abre en una pestaña nueva" class="project-link about-profile-button about-profile-button-primary" href="https://www.linkedin.com/in/malcolmdpc" rel="noopener noreferrer" target="_blank"><span aria-hidden="true" class="about-profile-button-icon"><img alt="" height="512" src="images/patrones/canales-icons/linkedin.svg" width="448"/></span>Ver mi trayectoria en LinkedIn</a>
<a aria-label="Ir a la sección Metodología" class="project-link secondary custom-btn-link about-profile-button about-profile-button-secondary" data-methodology-cta="" href="#methodology"><span aria-hidden="true" class="about-profile-button-icon about-profile-button-icon-methodology"><svg focusable="false" viewbox="0 0 32 24"><path d="M2.5 12H28.5"></path><path d="M20 3.5L28.5 12L20 20.5"></path></svg></span>Conocer Metodología</a>
</div>
</div>
</div>
</section>
<section class="process-horizontal-edge-section" data-horizontal-process-section="" data-methodology-controller="adaptive" data-methodology-mode="native" id="methodology">
<div class="methodology-stage">
<div class="process-horizontal-static-head"><h2>Ciclo de vida del dato</h2></div>
<div aria-label="Progreso de etapas" class="process-horizontal-guide">
<span class="process-horizontal-guide__line"></span>
<span class="process-horizontal-guide__progress"></span>
<button aria-label="Ir a etapa 1" class="process-horizontal-guide__bullet is-active" data-process-guide="0" type="button"></button>
<button aria-label="Ir a etapa 2" class="process-horizontal-guide__bullet" data-process-guide="1" type="button"></button>
<button aria-label="Ir a etapa 3" class="process-horizontal-guide__bullet" data-process-guide="2" type="button"></button>
<button aria-label="Ir a etapa 4" class="process-horizontal-guide__bullet" data-process-guide="3" type="button"></button>
<button aria-label="Ir a etapa 5" class="process-horizontal-guide__bullet" data-process-guide="4" type="button"></button>
<button aria-label="Ir a etapa 6" class="process-horizontal-guide__bullet" data-process-guide="5" type="button"></button>
</div>
<div aria-label="Recorrido horizontal de las etapas de la metodología" class="methodology-viewport" tabindex="0">
<div class="process-horizontal-track wrapper">
<article class="process-horizontal-panel item is-dark-text" data-process-horizontal-item="" style="--panel-color:#ffc200">
<div class="process-horizontal-panel__inner">
<div class="process-horizontal-panel__copy">
<span class="process-horizontal-panel__number">1</span>
<h3>Descubrimiento</h3>
<small>Contexto y objetivo</small>
<p>Entendimiento del problema, la decisión a mejorar, los usuarios involucrados y el resultado esperado.</p>
<div aria-label="Tecnologías de la etapa" class="process-horizontal-tech"><span class="process-horizontal-tech-chip"><img alt="Power BI" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/power-bi.svg" width="24"/><span>Power BI</span></span><span class="process-horizontal-tech-chip"><img alt="Qlik Cloud" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/qlik-cloud.svg" width="24"/><span>Qlik Cloud</span></span><span class="process-horizontal-tech-chip"><img alt="Looker Studio" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/looker-studio.svg" width="24"/><span>Looker Studio</span></span><span class="process-horizontal-tech-chip"><img alt="SQL Server" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/sql-server.svg" width="24"/><span>SQL Server</span></span></div>
</div>
<figure aria-label="Visuales animados de la etapa 1: Descubrimiento" class="process-horizontal-panel__media process-card-swiper">
<div class="card-groups">
<div class="card-group" data-index="0" data-status="active">
<div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-01.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-02.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-03.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-04.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-05.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-06.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-07.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-01-card-08.webp" width="543"/></div>
</div>
</div>
</figure>
</div>
</article>
<article class="process-horizontal-panel item is-light-text" data-process-horizontal-item="" style="--panel-color:#0d0f0d">
<div class="process-horizontal-panel__inner">
<div class="process-horizontal-panel__copy">
<span class="process-horizontal-panel__number">2</span>
<h3>Fuentes</h3>
<small>Datos y diagnóstico</small>
<p>Identificación de las fuentes disponibles, su origen, actualización, confiabilidad y principales limitaciones.</p>
<div aria-label="Tecnologías de la etapa" class="process-horizontal-tech"><span class="process-horizontal-tech-chip"><img alt="SQL Server" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/sql-server.svg" width="24"/><span>SQL Server</span></span><span class="process-horizontal-tech-chip"><img alt="Python" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/python.svg" width="24"/><span>Python</span></span><span class="process-horizontal-tech-chip"><img alt="Pandas" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/pandas.svg" width="24"/><span>Pandas</span></span><span class="process-horizontal-tech-chip"><img alt="NumPy" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/numpy.svg" width="24"/><span>NumPy</span></span><span class="process-horizontal-tech-chip"><img alt="dbt" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/dbt.svg" width="24"/><span>dbt</span></span></div>
</div>
<figure aria-label="Visuales animados de la etapa 2: Fuentes" class="process-horizontal-panel__media process-card-swiper">
<div class="card-groups">
<div class="card-group" data-index="0" data-status="active">
<div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-01.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-02.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-03.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-04.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-05.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-06.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-07.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-02-card-08.webp" width="543"/></div>
</div>
</div>
</figure>
</div>
</article>
<article class="process-horizontal-panel item is-dark-text" data-process-horizontal-item="" style="--panel-color:#f5f0e8">
<div class="process-horizontal-panel__inner">
<div class="process-horizontal-panel__copy">
<span class="process-horizontal-panel__number">3</span>
<h3>Preparación</h3>
<small>Base analítica</small>
<p>Organización, limpieza y combinación de datos para construir una base consistente y usable.</p>
<div aria-label="Tecnologías de la etapa" class="process-horizontal-tech"><span class="process-horizontal-tech-chip"><img alt="Python" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/python.svg" width="24"/><span>Python</span></span><span class="process-horizontal-tech-chip"><img alt="Pandas" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/pandas.svg" width="24"/><span>Pandas</span></span><span class="process-horizontal-tech-chip"><img alt="NumPy" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/numpy.svg" width="24"/><span>NumPy</span></span><span class="process-horizontal-tech-chip"><img alt="dbt" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/dbt.svg" width="24"/><span>dbt</span></span><span class="process-horizontal-tech-chip"><img alt="SQL Server" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/sql-server.svg" width="24"/><span>SQL Server</span></span></div>
</div>
<figure aria-label="Visuales animados de la etapa 3: Preparación" class="process-horizontal-panel__media process-card-swiper">
<div class="card-groups">
<div class="card-group" data-index="0" data-status="active">
<div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-01.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-02.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-03.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-04.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-05.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-06.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-07.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-03-card-08.webp" width="543"/></div>
</div>
</div>
</figure>
</div>
</article>
<article class="process-horizontal-panel item is-light-text" data-process-horizontal-item="" style="--panel-color:#1f2937">
<div class="process-horizontal-panel__inner">
<div class="process-horizontal-panel__copy">
<span class="process-horizontal-panel__number">4</span>
<h3>Construcción</h3>
<small>Solución</small>
<p>Desarrollo del análisis, modelo o dashboard necesario según el objetivo definido.</p>
<div aria-label="Tecnologías de la etapa" class="process-horizontal-tech"><span class="process-horizontal-tech-chip"><img alt="Scikit-learn" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/scikit-learn.svg" width="24"/><span>Scikit-learn</span></span><span class="process-horizontal-tech-chip process-horizontal-tech-chip--matplotlib"><span aria-hidden="true" class="process-horizontal-tech-icon process-horizontal-tech-icon--matplotlib"></span><span>Matplotlib</span></span><span class="process-horizontal-tech-chip"><img alt="Plotly" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/plotly.svg" width="24"/><span>Plotly</span></span><span class="process-horizontal-tech-chip"><img alt="Power BI" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/power-bi.svg" width="24"/><span>Power BI</span></span><span class="process-horizontal-tech-chip"><img alt="Qlik Cloud" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/qlik-cloud.svg" width="24"/><span>Qlik Cloud</span></span></div>
</div>
<figure aria-label="Visuales animados de la etapa 4: Construcción" class="process-horizontal-panel__media process-card-swiper">
<div class="card-groups">
<div class="card-group" data-index="0" data-status="active">
<div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-01.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-02.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-03.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-04.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-05.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-06.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-07.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-04-card-08.webp" width="543"/></div>
</div>
</div>
</figure>
</div>
</article>
<article class="process-horizontal-panel item is-light-text" data-process-horizontal-item="" style="--panel-color:#202126">
<div class="process-horizontal-panel__inner">
<div class="process-horizontal-panel__copy">
<span class="process-horizontal-panel__number">5</span>
<h3>Validación</h3>
<small>Control y confianza</small>
<p>Revisión de la coherencia, estabilidad y alineación de los resultados con la realidad del negocio.</p>
<div aria-label="Tecnologías de la etapa" class="process-horizontal-tech"><span class="process-horizontal-tech-chip"><img alt="Python" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/python.svg" width="24"/><span>Python</span></span><span class="process-horizontal-tech-chip"><img alt="Scikit-learn" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/scikit-learn.svg" width="24"/><span>Scikit-learn</span></span><span class="process-horizontal-tech-chip process-horizontal-tech-chip--matplotlib"><span aria-hidden="true" class="process-horizontal-tech-icon process-horizontal-tech-icon--matplotlib"></span><span>Matplotlib</span></span><span class="process-horizontal-tech-chip"><img alt="Plotly" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons-light/plotly.svg" width="24"/><span>Plotly</span></span><span class="process-horizontal-tech-chip"><img alt="SPSS Modeler" decoding="async" fetchpriority="low" height="128" loading="lazy" src="images/patrones/tech-icons-light/spss-modeler.svg" width="128"/><span>SPSS Modeler</span></span></div>
</div>
<figure aria-label="Visuales animados de la etapa 5: Validación" class="process-horizontal-panel__media process-card-swiper">
<div class="card-groups">
<div class="card-group" data-index="0" data-status="active">
<div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-01.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-02.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-03.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-04.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-05.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-06.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-07.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-05-card-08.webp" width="543"/></div>
</div>
</div>
</figure>
</div>
</article>
<article class="process-horizontal-panel item is-dark-text" data-process-horizontal-item="" style="--panel-color:#facc15">
<div class="process-horizontal-panel__inner">
<div class="process-horizontal-panel__copy">
<span class="process-horizontal-panel__number">6</span>
<h3>Entrega</h3>
<small>Publicación, automatización y evolución</small>
<p>Documentación del trabajo final, automatización de procesos recurrentes y consideración del feedback para mejoras futuras.</p>
<div aria-label="Tecnologías de la etapa" class="process-horizontal-tech"><span class="process-horizontal-tech-chip"><img alt="GitHub" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/canales-icons-dark/github.svg" width="24"/><span>GitHub</span></span><span class="process-horizontal-tech-chip"><img alt="Power BI" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/power-bi.svg" width="24"/><span>Power BI</span></span><span class="process-horizontal-tech-chip"><img alt="Qlik Cloud" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/qlik-cloud.svg" width="24"/><span>Qlik Cloud</span></span><span class="process-horizontal-tech-chip"><img alt="Looker Studio" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/looker-studio.svg" width="24"/><span>Looker Studio</span></span><span class="process-horizontal-tech-chip"><img alt="Plotly" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/tech-icons/plotly.svg" width="24"/><span>Plotly</span></span></div>
</div>
<figure aria-label="Visuales animados de la etapa 6: Entrega" class="process-horizontal-panel__media process-card-swiper">
<div class="card-groups">
<div class="card-group" data-index="0" data-status="active">
<div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-01.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-02.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-03.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-04.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-05.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-06.webp" width="543"/></div><div aria-hidden="true" class="little-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-07.webp" width="543"/></div><div aria-hidden="true" class="big-card card"><img alt="" decoding="async" fetchpriority="low" height="724" loading="lazy" src="images/patrones/process-horizontal/card-stack/stage-06-card-08.webp" width="543"/></div>
</div>
</div>
</figure>
</div>
</article>
</div>
</div>
</div>
</section>
<section class="contact py-5 github-projects-section section-glow glow-repo" id="projects">
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<small class="section-kicker">Repositorio Patrones Lab</small>
<h2 class="mb-3 projects-title-display">Proyectos</h2>
<p class="projects-intro">Selección de proyectos aplicados con datos públicos, metodología y resultados visuales. Usá los filtros para navegar por disciplina, herramienta o tipo de entrega.</p>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Balearic Islands Flight Analysis project" data-detail-aria-es="Abrir detalle del proyecto Análisis de Vuelos en las Islas Baleares" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Analisi del traffico aereo nelle Isole Baleari" data-project-id="aena-balearic-flights" data-tags="python data-storytelling aviacion data-analysis bi">
<a aria-label="Abrir detalle del proyecto Análisis de Vuelos en las Islas Baleares" class="project-image-link" href="proyectos/analisis-vuelos-islas-baleares.html">
<img alt="Carátula del proyecto «Análisis de Vuelos en las Islas Baleares» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p01-vuelos-baleares-cover.webp" width="600"/>
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<h3>Análisis de Vuelos en las Islas Baleares</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2025" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2025</span></span></div>
<p>Análisis de tráfico aéreo en España con datos públicos de AENA, con foco en volúmenes, patrones por aeropuerto y diferencias entre categorías.</p>
<div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Aviación</span><span>Data Analysis</span><span>BI</span></div>
<div class="project-links-dual project-links-editorial">
<a aria-label="Abrir detalle del proyecto Análisis de Vuelos en las Islas Baleares" class="project-link has-destination-icon" href="proyectos/analisis-vuelos-islas-baleares.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
<a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/pulse/turismo-en-las-islas-baleares-visto-desde-el-aire-qu%C3%A9-malcolm-dl9be" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a>
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<article class="github-project-card featured project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Airbnb Lodging Analysis in London project" data-detail-aria-es="Abrir detalle del proyecto Análisis del Alojamiento Airbnb en Londres" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Analisi degli alloggi Airbnb a Londra" data-project-id="airbnb-london-analysis" data-tags="python data-storytelling airbnb data-analysis bi">
<a aria-label="Abrir detalle del proyecto Análisis del Alojamiento Airbnb en Londres" class="project-image-link" href="proyectos/analisis-alojamiento-airbnb-londres.html">
<img alt="Carátula del proyecto «Análisis de Airbnb en Londres» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p02-airbnb-londres-cover.webp" width="600"/>
<span aria-hidden="true" class="project-detail-hover-cue"><span class="project-detail-hover-plus">+</span><span class="project-detail-hover-text" data-project-detail-cta="true">Ver detalle</span></span><div class="project-hover-layer"><div class="project-magnetic-bar"><span data-project-detail-cta="true">Ver detalle</span><b aria-hidden="true">+</b></div></div></a>
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<h3>Análisis del Alojamiento Airbnb en Londres</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2025" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2025</span></span></div>
<p>Análisis exploratorio de Airbnb en Londres para comparar precios, tipos de alojamiento, disponibilidad, estancias mínimas y diferencias entre barrios.</p>
<div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Airbnb</span><span>Data Analysis</span><span>BI</span></div>
<div class="project-links-dual project-links-editorial">
<a aria-label="Abrir detalle del proyecto Análisis del Alojamiento Airbnb en Londres" class="project-link has-destination-icon" href="proyectos/analisis-alojamiento-airbnb-londres.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
<a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/pulse/airbnb-en-londres-an%C3%A1lisis-del-alojamiento-precios-y-malcolm-ycoae" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Chicago Taxi Trip Analysis project" data-detail-aria-es="Abrir detalle del proyecto Análisis de Viajes en Taxi en Chicago" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Analisi dei viaggi in taxi a Chicago" data-project-id="chicago-taxi-analysis" data-tags="python data-storytelling taxi data-analysis bi geoespacial">
<a aria-label="Abrir detalle del proyecto Análisis de Viajes en Taxi en Chicago" class="project-image-link" href="proyectos/analisis-viajes-taxi-chicago.html">
<img alt="Carátula del proyecto «Análisis de Viajes en Taxi en Chicago» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p03-taxi-chicago-cover.webp" width="600"/>
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<div class="github-project-body">
<h3>Análisis de Viajes en Taxi en Chicago</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div>
<p>Análisis de viajes de taxi en Chicago para estudiar duración, demanda, distribución geoespacial y patrones operativos.</p>
<div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Taxi</span><span>Data Analysis</span><span>BI</span><span>Geoespacial</span></div>
<div class="project-links-dual project-links-editorial">
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<a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/pulse/taxi-trips-chicago-an%C3%A1lisis-sobre-la-red-urbana-de-malcolm-zo6we" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the ML Model · Airbnb London project" data-detail-aria-es="Abrir detalle del proyecto Modelo ML · Airbnb London" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Modello ML · Airbnb London" data-project-id="airbnb-london-ml" data-tags="python airbnb data-analysis data-science machine-learning clasificacion regresion-logistica modelo-supervisado">
<a aria-label="Abrir detalle del proyecto Modelo ML · Airbnb London" class="project-image-link" href="proyectos/modelo-ml-airbnb-london.html">
<img alt="Carátula del proyecto «Modelo Machine Learning · Airbnb en London» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p04-ml-airbnb-london-cover.webp" width="600"/>
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<h3>Modelo ML · Airbnb London</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2025" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2025</span></span></div>
<p>Modelo de clasificación con regresión logística para identificar anuncios relativamente caros o baratos dentro de cada tipo de alojamiento.</p>
<div class="mini-tags"><span>Python</span><span>Airbnb</span><span>Data Analysis</span><span>Data Science</span><span>Machine Learning</span><span>Clasificación</span><span>Regresión logística</span><span>Modelo supervisado</span></div>
<div class="project-links-dual project-links-editorial">
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<a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/pulse/airbnb-en-londres-an%C3%A1lisis-del-alojamiento-precios-y-malcolm-ycoae" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a>
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<article class="github-project-card featured project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Looker Dashboard · Chicago Taxi Trips project" data-detail-aria-es="Abrir detalle del proyecto Dashboard Looker · Taxi Trips Chicago" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Dashboard Looker · Taxi Trips Chicago" data-project-id="looker-chicago-taxi-dashboard" data-tags="looker-studio taxi data-analysis bi dashboard">
<a aria-label="Abrir detalle del proyecto Dashboard Looker · Taxi Trips Chicago" class="project-image-link" href="proyectos/dashboard-looker-taxi-trips-chicago.html">
<img alt="Carátula del proyecto «Dashboard con Looker Studio · Taxi Trips Chicago» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p05-looker-taxi-chicago-cover.webp" width="600"/>
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<h3>Dashboard Looker · Taxi Trips Chicago</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div>
<p>Dashboard interactivo en Looker Studio para explorar viajes de taxi en Chicago, indicadores operativos, patrones horarios y recorridos pickup-dropoff.</p>
<div class="mini-tags"><span>Looker Studio</span><span>Taxi</span><span>Data Analysis</span><span>BI</span><span>Dashboard</span></div>
<div class="project-links-dual project-links-dashboard">
<a aria-label="Abrir detalle del proyecto Dashboard Looker · Taxi Trips Chicago" class="project-link has-destination-icon" href="proyectos/dashboard-looker-taxi-trips-chicago.html"><span class="project-action-label">Entrar al proyecto</span><span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
<a class="project-link secondary-project-link has-destination-icon" href="https://github.com/malcolmdpc/patrones-lab/tree/main/2026-03_taxi-trip-chicago" rel="noopener" target="_blank"><span class="project-action-label">Ver documentación</span><span aria-hidden="true" class="btn-destination-icon btn-destination-icon-github"><img alt="" decoding="async" fetchpriority="low" height="63" loading="lazy" src="images/patrones/github-button-icon.png" width="64"/></span></a>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the ML Model · Expected Goals (xG) project" data-detail-aria-es="Abrir detalle del proyecto Modelo Machine Learning · Goles Esperados (xG)" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Modello Machine Learning · Expected Goals (xG)" data-project-id="statsbomb-expected-goals-xg" data-tags="python data-storytelling futbol data-analysis bi data-science machine-learning regresion-logistica modelo-supervisado clasificacion">
<a aria-label="Abrir detalle del proyecto Modelo Machine Learning · Goles Esperados (xG)" class="project-image-link" href="proyectos/modelo-ml-goles-esperados-xg.html">
<img alt="Carátula del proyecto «Modelo Machine Learning · Goles Esperados (xG)» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p06-xg-futbol-statsbomb-cover.webp" width="600"/>
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<h3>Modelo Machine Learning · Goles Esperados (xG)</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2022" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2022</span></span></div>
<p>Modelo de regresión logística para estimar la probabilidad de gol de cada tiro con datos públicos de StatsBomb, validación por partidos y aplicación al Mundial Qatar 2022.</p>
<div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Fútbol</span><span>Data Analysis</span><span>BI</span><span>Data Science</span><span>Machine Learning</span><span>Regresión logística</span><span>Modelo supervisado</span><span>Clasificación</span></div>
<a aria-label="Abrir detalle del proyecto Modelo Machine Learning · Goles Esperados (xG)" class="project-link has-destination-icon" href="proyectos/modelo-ml-goles-esperados-xg.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
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</article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Football Probabilities · Expected Threat (xT) project" data-detail-aria-es="Abrir detalle del proyecto Probabilidades en el Fútbol · Peligro Esperado (xT)" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Probabilità nel calcio · Pericolo Atteso (xT)" data-project-id="statsbomb-expected-threat-xt" data-tags="python data-storytelling futbol data-analysis bi data-science">
<a aria-label="Abrir detalle del proyecto Probabilidades en el Fútbol · Peligro Esperado (xT)" class="project-image-link" href="proyectos/probabilidades-futbol-peligro-esperado-xt.html">
<img alt="Carátula del proyecto «Probabilidades en el Fútbol · Peligro Esperado (xT)» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p07-xt-futbol-statsbomb-cover.webp" width="600"/>
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<h3>Probabilidades en el Fútbol · Peligro Esperado (xT)</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2022" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2022</span></span></div>
<p>Modelo probabilístico de Peligro Esperado en el fútbol con datos públicos de StatsBomb. Se estima la probabilidad de gol en las próximas 5 jugadas.</p>
<div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Fútbol</span><span>Data Analysis</span><span>BI</span><span>Data Science</span></div>
<div class="project-links-dual"><a aria-label="Abrir detalle del proyecto Probabilidades en el Fútbol · Peligro Esperado (xT)" class="project-link has-destination-icon" href="proyectos/probabilidades-futbol-peligro-esperado-xt.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a><a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/pulse/f%C3%BAtbol-y-probabilidades-c%C3%A1lculo-del-peligro-esperado-malcolm-acide" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a></div></div>
</article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the ML Model · Fraud with K-means project" data-detail-aria-es="Abrir detalle del proyecto Modelo ML · Fraude con K-means" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Modello ML · Frode con K-means" data-project-id="fraud-detection-kmeans" data-tags="machine-learning python clustering spss fraude k-means modelo-no-supervisado data-science">
<a aria-label="Abrir detalle del proyecto Modelo ML · Fraude con K-means" class="project-image-link" href="proyectos/modelo-ml-fraude-kmeans.html">
<img alt="Carátula del proyecto «Modelo Machine Learning · Fraude con K-means» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p08-fraude-kmeans-cover.webp" width="600"/>
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<div class="github-project-body">
<h3>Modelo ML · Detección de Fraude</h3>
<p class="project-status published">✅ publicado</p>
<p>Clustering no supervisado con K-means para la detección de fraudes con tarjetas de crédito.</p>
<div class="mini-tags">
<span>Machine Learning</span><span>Python</span><span>Clustering</span><span>SPSS</span><span>Fraude</span><span>K-means</span><span>Modelo no supervisado</span>
<span>Data Science</span></div>
<div class="project-links-dual">
<a aria-label="Abrir detalle del proyecto Modelo ML · Fraude con K-means" class="project-link has-destination-icon" href="proyectos/modelo-ml-fraude-kmeans.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
<a class="project-link secondary-project-link" href="https://github.com/malcolmdpc/MachineLearningConPython" rel="noopener" target="_blank">Ver en Python</a>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the ML Model · Fraud with Logistic Regression project" data-detail-aria-es="Abrir detalle del proyecto Modelo ML · Fraude con Regresión logística" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Modello ML · Frode con regressione logistica" data-project-id="fraud-detection-logistic-regression" data-tags="machine-learning python clasificacion spss fraude regresion-logistica modelo-supervisado data-science">
<a aria-label="Abrir detalle del proyecto Modelo ML · Fraude con Regresión logística" class="project-image-link" href="proyectos/modelo-ml-fraude-regresion-logistica.html">
<img alt="Carátula del proyecto «Modelo Machine Learning · Fraude con Regresión Logística» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p09-fraude-regresion-logistica-cover.webp" width="600"/>
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<div class="github-project-body">
<h3>Modelo ML · Detección de Fraude</h3>
<p class="project-status published">✅ publicado</p>
<p>Clasificación supervisada mediante regresión logística para la detección de fraude con tarjeta de crédito.</p>
<div class="mini-tags">
<span>Machine Learning</span><span>Python</span><span>Clasificación</span><span>SPSS</span><span>Fraude</span><span>Regresión logística</span><span>Modelo supervisado</span>
<span>Data Science</span></div>
<div class="project-links-dual">
<a aria-label="Abrir detalle del proyecto Modelo ML · Fraude con Regresión logística" class="project-link has-destination-icon" href="proyectos/modelo-ml-fraude-regresion-logistica.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
<a class="project-link secondary-project-link" href="https://github.com/malcolmdpc/MachineLearningConPython" rel="noopener" target="_blank">Ver en Python</a>
</div>
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</article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the ML Model · Fraud with DBSCAN project" data-detail-aria-es="Abrir detalle del proyecto Modelo ML · Fraude con DBSCAN" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Modello ML · Frode con DBSCAN" data-project-id="fraud-detection-dbscan" data-tags="machine-learning python clustering fraude dbscan modelo-no-supervisado data-science">
<a aria-label="Abrir detalle del proyecto Modelo ML · Fraude con DBSCAN" class="project-image-link" href="proyectos/modelo-ml-fraude-dbscan.html">
<img alt="Carátula del proyecto «Modelo Machine Learning · Fraude con DBSCAN» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p10-fraude-dbscan-cover.webp" width="600"/>
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<div class="github-project-body">
<h3>Modelo ML · Detección de Fraude</h3>
<p class="project-status published">✅ publicado</p>
<p>Clustering no supervisado con DBSCAN para identificar posibles fraudes con tarjeta de crédito.</p>
<div class="mini-tags">
<span>Machine Learning</span><span>Python</span><span>Clustering</span><span>Fraude</span><span>DBSCAN</span><span>Modelo no supervisado</span>
<span>Data Science</span></div>
<a aria-label="Abrir detalle del proyecto Modelo ML · Fraude con DBSCAN" class="project-link has-destination-icon" href="proyectos/modelo-ml-fraude-dbscan.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
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</article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the 2022 World Cup Statistics: Percentile Radar project" data-detail-aria-es="Abrir detalle del proyecto Estadísticas del Mundial 2022: Radar de Percentiles" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Statistiche Mondiali 2022: Radar dei percentili" data-project-id="qatar-2022-world-cup-stats" data-tags="python data-storytelling futbol data-analysis bi data-science">
<a aria-label="Abrir detalle del proyecto Estadísticas del Mundial 2022: Radar de Percentiles" class="project-image-link" href="proyectos/estadisticas-mundial-futbol-qatar-2022.html">
<img alt="Carátula del proyecto «Estadísticas del Mundial 2022: Radar de Percentiles» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p11-mundial-2022-radar-percentiles-cover.webp" width="600"/>
<span aria-hidden="true" class="project-detail-hover-cue"><span class="project-detail-hover-plus">+</span><span class="project-detail-hover-text" data-project-detail-cta="true">Ver detalle</span></span><div class="project-hover-layer"><div class="project-magnetic-bar"><span data-project-detail-cta="true">Ver detalle</span><b aria-hidden="true">+</b></div></div></a>
<div class="github-project-body">
<h3>Estadísticas del Mundial 2022: Radar de Percentiles</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2022" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2022</span></span></div>
<p>Análisis de estadísticas del Mundial 2022 con datos públicos de StatsBomb, orientado a resumir rendimientos individuales y comparar jugadores mediante radar de percentiles.</p>
<div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Fútbol</span><span>Data Analysis</span><span>BI</span><span>Data Science</span></div>
<div class="project-links-dual project-links-editorial">
<a aria-label="Abrir detalle del proyecto Estadísticas del Mundial 2022: Radar de Percentiles" class="project-link has-destination-icon" href="proyectos/estadisticas-mundial-futbol-qatar-2022.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
<a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/posts/malcolmdpc_footballanalytics-dataanalytics-python-ugcPost-7468343510862200833-XPLV/" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a>
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<article class="github-project-card muted-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Geospatial Analysis of Taxi Trips project" data-detail-aria-es="Abrir detalle del proyecto Análisis Geoespacial de los Viajes en Taxi" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Analisi geospaziale dei viaggi in taxi" data-project-id="chicago-taxi-geospatial-analysis" data-tags="python data-storytelling taxi data-analysis bi geoespacial">
<a aria-label="Abrir detalle del proyecto Análisis Geoespacial de los Viajes en Taxi" class="project-image-link" href="proyectos/analisis-geoespacial-viajes-taxi.html">
<img alt="Carátula del proyecto «Análisis Geoespacial de los Viajes en Taxi» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p12-taxi-geoespacial-cover.webp" width="600"/>
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<h3>Análisis Geoespacial de los Viajes en Taxi</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div>
<p>Análisis geoespacial de viajes de taxi en Chicago, orientado a detectar zonas de mayor actividad, recorridos urbanos y concentración territorial de la demanda.</p>
<div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Taxi</span><span>Data Analysis</span><span>BI</span><span>Geoespacial</span></div>
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<a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/pulse/taxi-trips-chicago-an%C3%A1lisis-geoespacial-qu%C3%A9-muestran-malcolm-cjjae" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Power BI Spotify Charts dashboard project" data-detail-aria-es="Abrir detalle del proyecto Dashboard en Power BI · Spotify Charts" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Dashboard in Power BI · Spotify Charts" data-project-id="spotify-charts-powerbi-dashboard" data-tags="power-bi spotify dashboard data-analysis bi data-storytelling"><a aria-label="Abrir detalle del proyecto Dashboard en Power BI · Spotify Charts" class="project-image-link" href="proyectos/dashboard-power-bi-spotify-charts.html"><img alt="Carátula del proyecto «Dashboard en Power BI · Spotify Charts» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p13-spotify-powerbi-cover.webp" width="600"/><span aria-hidden="true" class="project-detail-hover-cue"><span class="project-detail-hover-plus">+</span><span class="project-detail-hover-text" data-project-detail-cta="true">Ver detalle</span></span><div class="project-hover-layer"><div class="project-magnetic-bar"><span data-project-detail-cta="true">Ver detalle</span><b aria-hidden="true">+</b></div></div></a><div class="github-project-body"><h3>Dashboard en Power BI · Spotify Charts</h3><div class="project-meta-row"><p class="project-status development">⚠️ en desarrollo</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div><p>Dashboard interactivo en Power BI sobre Spotify Charts para analizar streams, rankings, tendencias temporales y distribución territorial de la música.</p><div class="mini-tags"><span>Power BI</span><span>Spotify</span><span>Dashboard</span><span>Data Analysis</span><span>BI</span><span>Data Storytelling</span></div><div class="project-links-dual project-links-editorial"><a aria-label="Abrir detalle del proyecto Dashboard en Power BI · Spotify Charts" class="project-link has-destination-icon" href="proyectos/dashboard-power-bi-spotify-charts.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a></div></div></article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Power BI Dashboard · Spend Analysis project" data-detail-aria-es="Abrir detalle del proyecto Dashboard en Power BI · Análisis de Gastos" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Dashboard in Power BI · Analisi della spesa" data-project-id="supplier-spend-discounts-powerbi-dashboard" data-tags="power-bi dax dashboard data-analysis bi data-storytelling">
<a aria-label="Abrir detalle del proyecto Dashboard en Power BI · Análisis de Gastos" class="project-image-link" href="proyectos/dashboard-power-bi-prov-gastos-desc.html"><img alt="Carátula del proyecto «Dashboard en Power BI · Análisis de Gastos» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p14-proveedores-powerbi-cover.webp" width="600"/>
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<h3>Dashboard en Power BI · Análisis de Gastos</h3>
<p class="project-status published">✅ publicado</p>
<p>Informe interactivo en Power BI para analizar gasto con proveedores, evolución mensual, distribución por categorías, ahorro y distribución geográfica.</p>
<div class="mini-tags"><span>Power BI</span><span>DAX</span><span>Dashboard</span><span>Data Analysis</span><span>BI</span><span>Data Storytelling</span></div>
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<a aria-label="Abrir detalle del proyecto Dashboard en Power BI · Análisis de Gastos" class="project-link has-destination-icon" href="proyectos/dashboard-power-bi-prov-gastos-desc.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
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</article><article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Monte Carlo Simulation · 2026 World Cup Predictions project" data-detail-aria-es="Abrir detalle del proyecto Simulación de Montecarlo · Predicciones para el Mundial 2026" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Simulazione Monte Carlo · Previsioni per il Mondiale 2026" data-project-id="world-cup-2026-montecarlo-simulation" data-tags="python futbol data-science data-analysis data-storytelling simulacion">
<a aria-label="Abrir detalle del proyecto Simulación de Montecarlo · Predicciones para el Mundial 2026" class="project-image-link" href="proyectos/simulacion-montecarlo-mundial-2026.html">
<img alt="Carátula del proyecto «Simulación de Montecarlo · Predicciones para el Mundial 2026» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p15-montecarlo-mundial-2026-cover.webp" width="600"/>
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<h3>Simulación de Montecarlo · Predicciones para el Mundial 2026</h3>
<div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div>
<p>Simulación de un millón de escenarios del Mundial 2026 con ratings Elo para estimar probabilidades de alcanzar semifinales, disputar la final y consagrarse campeón.</p>
<div class="mini-tags"><span>Python</span><span>Fútbol</span><span>Data Science</span><span>Data Analysis</span><span>Data Storytelling</span><span>Simulación</span></div>
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<a aria-label="Abrir detalle del proyecto Simulación de Montecarlo · Predicciones para el Mundial 2026" class="project-link has-destination-icon" href="proyectos/simulacion-montecarlo-mundial-2026.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a>
<a class="project-link secondary-project-link has-destination-icon" href="https://www.linkedin.com/posts/malcolmdpc_worldcup2026-sportsanalytics-datavisualization-share-7480621307810852866-nIHg/" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Neural Networks · Weather Event Damage project" data-detail-aria-es="Abrir detalle del proyecto Redes Neuronales · Daños en Eventos Meteo" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Reti Neurali · Danni negli Eventi Meteo" data-project-id="storm-events-neural-network" data-tags="python data-analysis data-science machine-learning modelo-supervisado clasificacion regresion-logistica redes-neuronales">
<a aria-label="Abrir detalle del proyecto Redes Neuronales · Daños en Eventos Meteo" class="project-image-link" href="proyectos/red-neuronal-danos-eventos-meteorologicos.html">
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<h3>Redes Neuronales · Daños en Eventos Meteo</h3>
<div class="project-meta-row"><p class="project-status development">⚠️ en desarrollo</p><span aria-label="Año de los datos: 2025" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2025</span></span></div>
<p>Modelo de clasificación para estimar daños económicos en eventos meteorológicos, comparando una regresión logística con una red neuronal.</p>
<div class="mini-tags"><span>Python</span><span>Data Analysis</span><span>Data Science</span><span>Machine Learning</span><span>Modelo supervisado</span><span>Clasificación</span><span>Regresión logística</span><span>Redes Neuronales</span></div>
<div class="project-links-dual project-links-editorial"><a aria-label="Abrir detalle del proyecto Redes Neuronales · Daños en Eventos Meteo" class="project-link has-destination-icon" href="proyectos/red-neuronal-danos-eventos-meteorologicos.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a></div>
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<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-en="Open detail page for the Geospatial Airbnb Analysis in London project" data-detail-aria-es="Abrir detalle del proyecto Análisis Geoespacial de Airbnb en Londres" data-detail-aria-fr="Ouvrir la page de détail du projet Analyse Géospatiale d’Airbnb à Londres" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Analisi Geospaziale di Airbnb a Londra" data-project-id="airbnb-london-geospatial" data-tags="python data-storytelling airbnb data-analysis geoespacial knn">
<a aria-label="Abrir detalle del proyecto Análisis Geoespacial de Airbnb en Londres" class="project-image-link" href="proyectos/analisis-geoespacial-airbnb-londres.html">
<img alt="Carátula del proyecto «Análisis Geoespacial de Airbnb en Londres» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p17-airbnb-geoespacial-cover.webp" width="600"/>
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<div class="github-project-body"><h3>Análisis Geoespacial de Airbnb en Londres</h3><div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2025" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2025</span></span></div><p>Análisis geoespacial de precios Airbnb en Londres mediante distancia al centro, barrios y métricas de vecindad geográfica.</p><div class="mini-tags"><span>Python</span><span>Data Storytelling</span><span>Airbnb</span><span>Data Analysis</span><span>Geoespacial</span><span>KNN</span></div><div class="project-links-dual project-links-editorial"><a aria-label="Abrir detalle del proyecto Análisis Geoespacial de Airbnb en Londres" class="project-link has-destination-icon" href="proyectos/analisis-geoespacial-airbnb-londres.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a></div></div></article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-de="Detailseite des Projekts „Monte-Carlo-Simulation · Prognosen für LaLiga 2026/27“ öffnen" data-detail-aria-en="Open detail page for the Monte Carlo Simulation · Predictions for LaLiga 2026/27 project" data-detail-aria-es="Abrir detalle del proyecto Simulación de Montecarlo · Predicciones para LaLiga 2026/27" data-detail-aria-fr="Ouvrir la page de détail du projet Simulation de Monte-Carlo · Prédictions pour LaLiga 2026/27" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Simulazione Monte Carlo · Previsioni per LaLiga 2026/27" data-detail-aria-pt="Abrir página de detalhe do projeto «Simulação de Monte Carlo · Previsões para a LaLiga 2026/27»" data-project-id="laliga-2026-27-montecarlo-simulation" data-tags="python futbol data-science data-analysis data-storytelling simulacion">
<a aria-label="Abrir detalle del proyecto Simulación de Montecarlo · Predicciones para LaLiga 2026/27" class="project-image-link" href="proyectos/simulacion-montecarlo-laliga-2026-27.html"><img alt="Carátula del proyecto «Simulación de Montecarlo · Predicciones para LaLiga 2026/27» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p18-laliga-2026-27-montecarlo-cover.webp" width="600"/><span aria-hidden="true" class="project-detail-hover-cue"><span class="project-detail-hover-plus">+</span><span class="project-detail-hover-text" data-project-detail-cta="true">Ver detalle</span></span><div class="project-hover-layer"><div class="project-magnetic-bar"><span data-project-detail-cta="true">Ver detalle</span><b aria-hidden="true">+</b></div></div></a>
<div class="github-project-body"><h3>Simulación de Montecarlo · Predicciones para LaLiga 2026/27</h3><div class="project-meta-row"><p class="project-status development">⚠️ en desarrollo</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div><p>Simulación de un millón de escenarios de LaLiga 2026/27 con ratings Elo para estimar probabilidades de los resultados más importantes del campeonato.</p><div class="mini-tags"><span>Python</span><span>Fútbol</span><span>Data Science</span><span>Data Analysis</span><span>Data Storytelling</span><span>Simulación</span></div><div class="project-links-dual project-links-editorial"><a aria-label="Abrir detalle del proyecto Simulación de Montecarlo · Predicciones para LaLiga 2026/27" class="project-link has-destination-icon" href="proyectos/simulacion-montecarlo-laliga-2026-27.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a></div></div></article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-de="Detailseite des Projekts „Champions-League-Prognosen 2026/27“ öffnen" data-detail-aria-en="Open detail page for the Champions League 2026/27 Predictions project" data-detail-aria-es="Abrir detalle del proyecto Predicciones Champions League 2026/27" data-detail-aria-fr="Ouvrir la page de détail du projet Pronostics Ligue des champions 2026/27" data-detail-aria-it="Aprire la pagina di dettaglio del progetto Pronostici Champions League 2026/27" data-detail-aria-pt="Abrir página de detalhe do projeto «Previsões da Liga dos Campeões 2026/27»" data-project-id="champions-league-2026-27-poisson" data-tags="python futbol data-science data-analysis data-storytelling simulacion poisson">
<a aria-label="Abrir detalle del proyecto Predicciones Champions League 2026/27" class="project-image-link" href="proyectos/predicciones-champions-league-2026-27.html"><img alt="Carátula del proyecto «Predicciones Champions League 2026/27» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p19-champions-league-2026-27-poisson-cover.webp" width="600"/><span aria-hidden="true" class="project-detail-hover-cue"><span class="project-detail-hover-plus">+</span><span class="project-detail-hover-text" data-project-detail-cta="true">Ver detalle</span></span><div class="project-hover-layer"><div class="project-magnetic-bar"><span data-project-detail-cta="true">Ver detalle</span><b aria-hidden="true">+</b></div></div></a>
<div class="github-project-body"><h3>Predicciones Champions League 2026/27</h3><div class="project-meta-row"><p class="project-status development">⚠️ en desarrollo</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div><p>Modelo de goles con distribución Poisson para calcular fuerza en ataque y defensa de cada equipo, combinado con la Simulación de Montecarlo para estimar probabilidades del campeonato.</p><div class="mini-tags"><span>Python</span><span>Fútbol</span><span>Ciencia de Datos</span><span>Análisis de Datos</span><span>Data Storytelling</span><span>Simulación</span><span>Poisson</span></div><div class="project-links-dual project-links-editorial"><a aria-label="Abrir detalle del proyecto Predicciones Champions League 2026/27" class="project-link has-destination-icon" href="proyectos/predicciones-champions-league-2026-27.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a></div></div></article>
<article class="github-project-card project-card-detail-ready project-hover-magnetic" data-detail-aria-es="Abrir proyecto: Simulación y Poisson · Predicciones Nations League 2026/27" data-project-id="nations-league-2026-27-montecarlo-elo-poisson" data-tags="python futbol data-science data-analysis data-storytelling simulacion poisson">
<a aria-label="Abrir proyecto: Simulación y Poisson · Predicciones Nations League 2026/27" class="project-image-link" href="proyectos/simulacion-montecarlo-nations-league-2026-27.html"><img alt="Carátula del proyecto «Simulación de Montecarlo · Predicciones para la Nations League 2026/27» — Patrones Lab" decoding="async" fetchpriority="low" height="750" loading="lazy" src="images/patrones/projects/home-covers/p20-nations-league-2026-27-montecarlo-cover.webp" width="600"/><span aria-hidden="true" class="project-detail-hover-cue"><span class="project-detail-hover-plus">+</span><span class="project-detail-hover-text" data-project-detail-cta="true">Ver detalle</span></span><div class="project-hover-layer"><div class="project-magnetic-bar"><span data-project-detail-cta="true">Ver detalle</span><b aria-hidden="true">+</b></div></div></a>
<div class="github-project-body"><h3>Simulación y Poisson · Predicciones Nations League 2026/27</h3><div class="project-meta-row"><p class="project-status published">✅ publicado</p><span aria-label="Año de los datos: 2026" class="project-data-year"><span class="project-data-label" data-data-year-label="true">datos:</span><span class="project-data-value">2026</span></span></div><p>Simulación de un millón de escenarios de la Nations League 2026/27 con ratings Elo y un modelo de goles basado en Poisson para estimar las probabilidades de ganar el grupo, avanzar en las eliminatorias y salir campeón.</p><div class="mini-tags"><span>Python</span><span>Fútbol</span><span>Data Science</span><span>Data Analysis</span><span>Data Storytelling</span><span>Simulación</span><span>Poisson</span></div><div class="project-links-dual project-links-editorial"><a aria-label="Abrir proyecto: Simulación y Poisson · Predicciones Nations League 2026/27" class="project-link has-destination-icon" href="proyectos/simulacion-montecarlo-nations-league-2026-27.html">Entrar al proyecto<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-enter"><img alt="" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/enter-project-button-icon.png" width="512"/></span></a><a aria-label="Abrir publicación del proyecto en LinkedIn" class="project-link secondary-project-link has-destination-icon" href="https://lnkd.in/p/eHpYpj5c" rel="noopener" target="_blank">Leer en LinkedIn<span aria-hidden="true" class="btn-destination-icon btn-destination-icon-linkedin">in</span></a></div></div></article></div>
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<small class="section-kicker">Canales de Patrones Lab</small>
<h2 class="mb-3 projects-title-display" id="networks-title">Redes y canales</h2>
<p class="social-intro">Todo el ecosistema del proyecto en un solo lugar: visuales, notas técnicas, publicaciones, dashboards, enlaces útiles y contacto profesional.</p>
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</span>
<strong>Instagram</strong>
<small>Visuales y posts</small>
</a>
<a aria-label="LinkedIn Malcolm" class="social-card linkedin" href="https://www.linkedin.com/in/malcolmdpc/" rel="noopener" target="_blank">
<span class="social-icon">
<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="512" loading="lazy" src="images/patrones/canales-icons/linkedin.svg" width="448"/>
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<strong>LinkedIn</strong>
<small>Perfil profesional</small>
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<a aria-label="X de Patrones Lab" class="social-card x" href="https://x.com/PatronesLab" rel="noopener" target="_blank">
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<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="43" loading="lazy" src="images/patrones/canales-icons/x.svg" width="42"/>
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<strong>X</strong>
<small>Novedades</small>
</a>
<a aria-label="Medium Malcolm DPC" class="social-card medium" href="https://medium.com/@malcolmdpc" rel="noopener" target="_blank">
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<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="35" loading="lazy" src="images/patrones/canales-icons/medium-2026.png" width="52"/>
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<strong>Medium</strong>
<small>Artículos y notas</small>
</a>
<a aria-label="Linktree Patrones Lab" class="social-card linktree" href="https://linktr.ee/PatronesLab" rel="noopener" target="_blank">
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<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/canales-icons/linktree.svg" width="24"/>
</span>
<strong>Linktree</strong>
<small>Todos los enlaces</small>
</a>
<a aria-label="GitHub Malcolm" class="social-card github" href="https://github.com/malcolmdpc" rel="noopener" target="_blank">
<span class="social-icon">
<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/canales-icons/github.svg" width="24"/>
</span>
<strong>GitHub</strong>
<small>Perfil técnico</small>
</a>
<a aria-label="Repositorio Patrones Lab" class="social-card repo" href="https://github.com/malcolmdpc/patrones-lab" rel="noopener" target="_blank">
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<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/canales-icons/github-repo.svg" width="24"/>
</span>
<strong>Repo</strong>
<small>Patrones Lab</small>
</a>
<a aria-label="Dashboard Looker Studio" class="social-card dashboard" href="https://datastudio.google.com/reporting/b0b32df2-f110-4bac-8dfb-3be359d4888d" rel="noopener" target="_blank">
<span class="social-icon">
<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="24" loading="lazy" src="images/patrones/canales-icons/looker-studio.svg" width="24"/>
</span>
<strong>Looker Studio</strong>
<small>Dashboard</small>
</a>
<a aria-label="Abrir proyecto Dashboard en Power BI · Análisis de Gastos" class="social-card power-bi social-grid-last-row-start" href="proyectos/dashboard-power-bi-prov-gastos-desc.html">
<span class="social-icon">
<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="48" loading="lazy" src="images/patrones/canales-icons/power-bi.svg" width="48"/>
</span>
<strong>Power BI</strong>
<small>Dashboard</small>
</a>
<a aria-label="Email de contacto" class="social-card mail" href="mailto:encontrandopatrones@gmail.com">
<span class="social-icon">
<img alt="" aria-hidden="true" decoding="async" fetchpriority="low" height="76" loading="lazy" src="images/patrones/canales-icons/gmail-2026.png" width="96"/>
</span>
<strong>Email</strong>
<small>Contacto directo</small>
</a>
</div>
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<small class="section-kicker">Conversemos sobre datos</small>
<h2 class="projects-title-display" id="contact-title">Contacto</h2>
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<h3>Escríbeme</h3>
<p>Para oportunidades profesionales, colaboración analítica o proyectos de BI · ML · Dashboards.</p>
<p class="contact-email-line"><strong>correo:</strong> <a href="mailto:encontrandopatrones@gmail.com">encontrandopatrones@gmail.com</a></p>
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<p class="form-note">Escribime y te responderé a la brevedad.</p>
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<label class="sr-only" for="name">Nombre</label>
<input class="form-control" id="name" name="name" placeholder="Nombre" type="text"/>
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<label class="sr-only" for="email">Email</label>
<input class="form-control" id="email" name="email" placeholder="Email" type="email"/>
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<footer class="footer py-5">Patrones Lab® · Generando conocimiento a partir de los datos · por Malcolm Di Pietro Cagliari</footer>
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