I am a data analyst and builder with an engineering background. I started in industrial engineering and control systems, and I moved into data because that is where I get to solve real problems. I work with SQL and Python to make sense of messy data, and I build agentic AI tools and web apps on top of it.
Most of my hands on work happens in the crypto space, where I ship dashboards, indexes and automation that turn live market data into something people can actually use. I learn fast, I ship often, and I care about the numbers being right.
Data & analytics → SQL queries, data cleaning and modeling with Python and Pandas,
dashboards and indexes that track live metrics.
Agentic AI → LLM assistants and tools, function calling, prompt design,
reliable structured outputs.
Platforms → Next.js, TypeScript and Node.js apps, Vercel deployments,
scheduled jobs and clean Git workflow.
Industrial / SCADA → Hands on with Siemens and Schneider Electric, PLC programming,
Modbus, Profibus, Profinet and OPC UA.
A reproducible SQL and Python project that uses public Binance market data to detect volatility regimes, abnormal volume, trading session patterns and a market health score across major crypto pairs. It is built the way a real analytics task would be: raw data in, clean schema, analytical SQL, clear charts and a short report a non technical reader can follow.
Stack: SQL · DuckDB · Python · pandas · matplotlib · Jupyter
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A live index that measures Binance against other exchanges, chains and traditional finance. I built the ingestion layer, the metrics and the web app. Ingestion service → |
An agentic AI assistant that researches on-chain and market data and returns clean, structured answers. View project → |
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An open source tool for crypto taxation in Spain, built with privacy in mind. Models transaction data into clear tax reports. View project → |
On-chain intelligence that tracks large wallet movements and turns them into market signals. Private while in progress. |
Kaizen. Small, steady steps. That is how I work.