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                          M Y S O R E   S A T H Y A N A R A Y A N A R A O

╔═══════════════════════════════════════════════════════════════════════════╗
║                                                                           ║
║   "Between every spreadsheet and every executive decision is a gap.       ║
║    I live in that gap — and I close it with data-driven insights."       ║
║                                                                           ║
║                                              — Nagajyothi MS              ║
╚═══════════════════════════════════════════════════════════════════════════╝

nagajyothi = {
    "role"         : "Business Analyst | Data Strategist | ETL Architect",
    "trained_by"   : ["KPMG Big 4 (2+ yrs)", "University at Buffalo MIS (3.8 GPA)"],
    "superpower"   : "I translate technical complexity for executives and business needs for engineers",
    "impact"       : {
        "cost_savings"       : "$2,000,000+",
        "efficiency_gained"  : "80% manual work eliminated",
        "billing_accuracy"   : "$8M in discrepancies identified",
        "stakeholder_trust"  : "98% satisfaction score",
        "brand_growth"       : "37% visibility increase",
        "faster_insights"    : "33% faster (72hrs → 48hrs)",
        "team_productivity"  : "40% boost through mentorship",
    },
    "tech_stack"   : {
        "languages"  : ["SQL", "Python", "R", "DAX"],
        "viz_tools"  : ["Tableau", "Power BI", "Looker", "QuickSight"],
        "cloud"      : ["Azure", "AWS", "GCP"],
        "erp"        : ["SAP", "Oracle", "Workday", "Epicor"],
        "etl"        : ["Alteryx", "Azure Databricks", "PySpark"],
    },
    "frameworks"   : ["Agile/Scrum", "BPMN", "BRD/FRD", "UAT", "CSPO®", "Data Governance"],
    "location"     : "Buffalo, NY 🇺🇸 | Open to relocation",
    "status"       : "🟢 Immediate availability — actively interviewing",
}

┌──────────────────────────────────────────────────────────────────────────────┐
│                                                                              │
│   💰 $2M+          📊 $8M          ⚡ 80%           📈 37%          ✅ 98%   │
│   Operational      Billing         Manual Work      Brand          Stakeholder│
│   Savings          Discrepancies   Eliminated       Growth         Satisfaction│
│   Generated        Identified                       Achieved                  │
│                                                                              │
│   🚀 33%           👥 10+          📉 22%          ⏱️ 27%          🎯 5×     │
│   Faster           Analysts        Margin          Extraction      Data       │
│   Insights         Mentored        Variance        Efficiency      Growth     │
│   Delivered        & Trained       Reduced         Improved        Supported  │
│                                                                              │
└──────────────────────────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────────────────────────────────┐
│                                                                                     │
│   🔷  BUSINESS ANALYST                                                              │
│   ──────────────────────────────────────────────────────────────────────────────   │
│   I don't just document requirements — I architect solutions. At KPMG, I built     │
│   the Enterprise Data Management system that cut insight delivery from 72 to       │
│   48 hours (33% faster). I've written BRDs signed off by Fortune 500 clients,      │
│   led cross-functional teams, and delivered audit-ready data for 15+ clients.      │
│   Big 4 BA work is the hardest version of this role. Everything else is easier.    │
│                                                                                     │
│   🔶  DATA ANALYST                                                                  │
│   ──────────────────────────────────────────────────────────────────────────────   │
│   SQL isn't just a skill I "know" — it's how I think. I've built ETL pipelines    │
│   processing millions of records daily with 99.9% accuracy, analyzed 200K+         │
│   transactions to find $8M in billing gaps, and created Power BI dashboards used   │
│   by 10+ business units. Data storytelling backed by statistical rigor.            │
│                                                                                     │
│   🔹  PRODUCT ANALYST                                                               │
│   ──────────────────────────────────────────────────────────────────────────────   │
│   I define KPIs before building dashboards. At Community Dreams Foundation,        │
│   I drove 37% brand growth through data-driven strategy and stakeholder            │
│   alignment. I understand user behavior, track conversion funnels, and translate   │
│   metrics into product decisions. CSPO® certified with real-world execution.       │
│                                                                                     │
└─────────────────────────────────────────────────────────────────────────────────────┘

Awards: 🏆 Client Service Excellence Award | ⭐ Rising Star Award – Q1

Challenge_1:
  problem: "Poor online brand visibility limiting donor reach"
  solution: "Dashboard development + stakeholder requirements gathering"
  outcome: "37% ↑ online brand visibility"

Challenge_2:
  problem: "Manual sales performance tracking slowing decisions"
  solution: "Automated analytics workflows across 5 teams"
  outcome: "15% ↓ report generation time"

University at Buffalo, NY | Mar 2025 – May 2025 (3 months)

University at Buffalo, NY | Jan 2025 – May 2025 (5 months)

Experiential IT Apprenticeship - MIS Capstone Project

Bangalore, India | Aug 2021 – Sep 2021 (2 months)

Cybersecurity & Data Security Internship

• Focused on LSB Image Steganography to hide confidential images using advanced decoding techniques
• Acquired proficiency in ethical hacking and cybersecurity, enhancing secure data handling techniques
• Developed skills in Java for server-side applications and Python for security tasks
• Gained knowledge of MySQL and contributed to safeguarding high-security data, including sensitive passwords

Skills: Ethical Hacking · Cybersecurity · Java · Python · MySQL · Data Security · Image Steganography

Key Skills Applied: Requirements Gathering · Dashboard Development · Stakeholder Management · Data Analysis · Process Automation

flowchart LR
    A(["🎯 UNDERSTAND\nStakeholder interviews\nRequirements gathering"]) --> B(["📊 ANALYZE\nSQL · Python · R\nStatistical analysis"])
    B --> C(["🗺️ MAP\nBPMN process flows\nGap analysis · SWOT"])
    C --> D(["🔧 BUILD\nETL pipelines\nData modeling"])
    D --> E(["✅ VALIDATE\nUAT · QA · Data audits\nAccuracy checks"])
    E --> F(["📈 VISUALIZE\nTableau · Power BI\nExecutive dashboards"])
    F --> G(["💡 DELIVER\nActionable insights\nBusiness recommendations"])
    G -.->|"🔁 Iterate & Optimize"| A

    style A fill:#0d1117,color:#2E9EF7,stroke:#2E9EF7,stroke-width:2px
    style B fill:#0d1117,color:#0077b5,stroke:#0077b5,stroke-width:2px
    style C fill:#0d1117,color:#00b4d8,stroke:#00b4d8,stroke-width:2px
    style D fill:#0d1117,color:#e17055,stroke:#e17055,stroke-width:2px
    style E fill:#0d1117,color:#a29bfe,stroke:#a29bfe,stroke-width:2px
    style F fill:#0d1117,color:#f9ca24,stroke:#f9ca24,stroke-width:2px
    style G fill:#0d1117,color:#1db954,stroke:#1db954,stroke-width:2px

DATA ANALYSIS & QUERYING
  SQL                         ████████████████████  100%   2+ yrs KPMG · Fortune 500 clients
  Python (Pandas, NumPy)      ████████████████░░░░   80%   ETL automation · $2M+ savings
  R Programming               ████████████░░░░░░░░   60%   Statistical analysis · Coursework
  Excel (Advanced)            ████████████████████  100%   Financial modeling · OPEX analysis

BUSINESS INTELLIGENCE
  Tableau                     ████████████████████  100%   Production dashboards · 10+ units
  Power BI + DAX              ████████████████████  100%   Executive reporting · Real-time KPIs
  Looker                      ████████████░░░░░░░░   65%   Analytics platform experience
  QuickSight                  ████████████░░░░░░░░   65%   AWS cloud visualization

CLOUD & PLATFORMS
  Microsoft Azure             ████████████████░░░░   85%   ETL pipelines · Databricks · Certified
  AWS                         ████████████░░░░░░░░   70%   Cloud Foundations certified
  GCP                         ████████████░░░░░░░░   60%   Cloud computing coursework
  SAP                         ████████████████░░░░   80%   COE Extraction Team lead
  Oracle ERP                  ████████████████░░░░   80%   Enterprise data extraction

ETL & DATA ENGINEERING
  Alteryx                     ████████████████░░░░   85%   Workflow automation at KPMG
  Azure Databricks            ████████████░░░░░░░░   70%   Big data processing
  PySpark                     ████████████░░░░░░░░   65%   Distributed computing
  Data Modeling               ████████████████████  100%   Dimensional modeling · Star schema

BA METHODOLOGY
  Agile / Scrum               ████████████████████  100%   CSPO® certified · 2+ yrs practice
  Requirements (BRD/FRD)      ████████████████████  100%   Client sign-offs at KPMG
  Process Mapping (BPMN)      ████████████████░░░░   85%   End-to-end workflow design
  UAT & QA                    ████████████████████  100%   Weekly data audits · 98% accuracy
  Stakeholder Management      ████████████████████  100%   Fortune 500 clients · C-suite
  Root Cause Analysis         ████████████████░░░░   85%   $8M billing discrepancy detection
  Data Governance             ████████████████░░░░   80%   Enterprise Data Management system

Eight projects targeting exactly the roles above. Built with real public data. Pinned on this profile.

What it is: End-to-end analysis of WHO COVID-19 dataset examining 150M+ cases, 3.18M+ deaths, infection rates, vaccination rollouts, and pandemic impact across continents and countries. Built complex SQL queries and interactive Tableau dashboard for executive insights.

What it shows a recruiter:

• ✓ I define analysis questions before diving into data — strategic thinking
• ✓ SQL is not a tool I "know" — complex JOINs, CTEs, window functions prove mastery
• ✓ Tableau dashboards designed for decisions, visualizing global trends and regional comparisons
• ✓ Written insight narrative = I communicate findings, not just create visuals
• ✓ Statistical rigor with percentage calculations, aggregations, and year-over-year trends

Stack: PostgreSQL · Tableau · Excel · SQL (JOINs, CTEs, Window Functions) · Data Visualization · Statistical Analysis

What it is: Open-source version of the Python validation engine approach used at KPMG — applied to public datasets. Automates data quality checks, flags anomalies, validates data integrity, and generates formatted Excel reports. Exactly the kind of automation that contributed to 80% manual work reduction.

What it shows a recruiter:

• ✓ I automate the painful parts of analysis — not just describe them
• ✓ My KPMG award-winning approach is documented and reproducible
• ✓ Clean, commented, production-readable Python code with error handling
• ✓ README explains the business problem first, then the technical solution
• ✓ Enterprise-grade data quality practices applied to real-world scenarios

Stack: Python · Pandas · NumPy · OpenPyXL · Data Quality · Automation · Excel Reporting

What it is: Full customer discovery research and product design project for smart meal-planning application. Conducted 15+ user interviews identifying top food adaptation challenges for people settling into new cities. Designed high-fidelity prototype in Figma with automated grocery lists, recipe management, and nutritional tracking.

What it shows a recruiter:

• ✓ I understand users before I build solutions — Jobs-to-be-Done framework applied
• ✓ Customer discovery is a Product Analyst superpower most BAs skip
• ✓ Findings: 80%+ of food challenges identified, solution validated through usability testing
• ✓ Written like a product strategy memo, not an academic paper
• ✓ End-to-end product thinking from research → design → validation

Stack: Figma · Notion · User Research · Usability Testing · Product Requirements · JTBD Framework · Prototyping

What it is: B2C stock investment platform addressing tracking gaps. Built Python backend for portfolio calculations, SQL database for transaction management, and Tableau dashboards for performance visualization. Enables users to track portfolios, transactions, returns, and receive automated rebalancing alerts.

What it shows a recruiter:

• ✓ Full-stack thinking — backend logic + database design + frontend visualization
• ✓ Financial domain knowledge with portfolio valuation and returns calculation
• ✓ Real-time data processing with automated alert systems
• ✓ Tableau used for actionable insights, not just pretty charts
• ✓ Measured success with engagement (+20%) and efficiency (+30%) metrics

Stack: Python · SQL · Tableau · Pandas · Financial Analysis · Database Design · Data Modeling

What it is: Comprehensive analysis of bookshop data providing insights into book sales, author performance, customer engagement, and inventory management. Created three interconnected Tableau dashboards (Authors, Books, Genres) using calculated fields, parameters, and filter actions for drill-down analysis. Identified top 5 performing categories.

What it shows a recruiter:

• ✓ Advanced Tableau features mastery — calculated fields, parameters, actions
• ✓ Data modeling with proper table joins and relational keys
• ✓ Business impact focus — 60% improvement in restocking accuracy
• ✓ Multiple stakeholder views (authors, inventory managers, executives)
• ✓ Actionable insights that drive operational decisions

Stack: Tableau · SQL · Data Modeling · Calculated Fields · Parameters · Dashboard Design · Data Visualization

What it is: Interactive Tableau storyboard analyzing UN refugee dataset with focus on global displacement patterns, demographics, geographic distribution, and host country responses. Performed geospatial analysis identifying top refugee-hosting countries, primary origin countries, and temporal trends in refugee movements.

What it shows a recruiter:

• ✓ Geospatial analysis capabilities with geographic data visualization
• ✓ Complex storytelling with data — not just charts, but narrative flow
• ✓ Humanitarian insights from quantitative analysis
• ✓ Year-over-year trend analysis and regional impact assessment
• ✓ Ability to work with international datasets and sensitive topics

Stack: Tableau · UN Refugee Data · Geospatial Analysis · Data Storytelling · Trend Analysis · Data Visualization

What it is: Database Management System application to effectively manage DJ events, bookings, equipment inventory, scheduling, pricing, and billing. Built with normalized relational schema, entity-relationship modeling, and referential integrity constraints. Complete CRUD operations with user authentication.

What it shows a recruiter:

• ✓ Database design fundamentals — normalization, ER modeling, constraints
• ✓ Full-stack development capability (HTML, CSS, JavaScript, PHP, MySQL)
• ✓ Business process understanding — booking workflows, inventory management
• ✓ User authentication and authorization implementation
• ✓ Real-world application solving actual business problem

Stack: HTML · CSS · JavaScript · PHP · MySQL · Database Design · DBMS · ER Modeling

What it is: Marvel App prototype for secure, student-focused housing platform addressing scams faced by international students. Conducted user research, developed personas, created user journey maps, and designed complete solution with verified listings, secure in-app communication, photo verification, and review systems.

What it shows a recruiter:

• ✓ Problem identification through user research with target demographic
• ✓ Design thinking process — personas, journey maps, wireframes to high-fidelity
• ✓ Understanding of trust and safety features for digital platforms
• ✓ Usability testing and feedback integration
• ✓ Student-specific needs translated into product features

Stack: Marvel App · UI/UX Design · User Research · Prototyping · Persona Development · User Journey Mapping

What it is: Research project using Neural Machine Translation (NMT) to automatically generate meaningful git commit messages from code changes. Implemented sequence-to-sequence model training on large corpus of git commit history with code diff analysis. Published research findings on improving developer productivity and documentation consistency.

What it shows a recruiter:

• ✓ Machine learning and NLP fundamentals applied to real problem
• ✓ Research methodology with published paper (academic rigor)
• ✓ Understanding of software development workflows (git, version control)
• ✓ Neural network implementation (TensorFlow/PyTorch)
• ✓ Ability to bridge AI/ML with practical business applications

Stack: Python · TensorFlow/PyTorch · NLP · Neural Networks · Git · Machine Learning · Research Publication

╔══════════════════════════════════════════════════════════════════════════════╗
║  🎓  MASTER OF SCIENCE IN MANAGEMENT INFORMATION SYSTEMS                     ║
║      University at Buffalo, SUNY  ·  Buffalo, NY  ·  Jul 2024 – Jun 2025    ║
║      GPA: 3.8/4.0                                                            ║
║                                                                              ║
║      Coursework: Data Warehousing · Cloud Computing · Data Visualization    ║
║                  Gen AI · Applied AI · DBMS · Advanced Analytics            ║
╠══════════════════════════════════════════════════════════════════════════════╣
║  🎓  BACHELOR OF ENGINEERING IN COMPUTER SCIENCE                             ║
║      BNM Institute of Technology, VTU  ·  Bangalore  ·  Jun 2018 – Jul 2022 ║
║                                                                              ║
║      Foundation in software engineering, algorithms, database systems       ║
╚══════════════════════════════════════════════════════════════════════════════╝

┌──────────────────────────────────────┬─────────────────────────────────────────────┐
│   What Most Candidates Say           │   What My Profile Proves                    │
├──────────────────────────────────────┼─────────────────────────────────────────────┤
│  "Strong SQL skills"                 │  SQL that generated $2M+ in savings         │
│  "Experience with Tableau"           │  Dashboards used by 10+ business units      │
│  "Worked on ETL projects"            │  Built pipelines processing millions daily  │
│  "Team player"                       │  Mentored 10+ analysts, 40% productivity ↑  │
│  "Python knowledge"                  │  Python automation = 80% manual work gone   │
│  "Data quality focus"                │  98% stakeholder satisfaction achieved      │
│  "Big 4 experience"                  │  KPMG: Fortune 500 clients, $8M identified  │
│  "Good communicator"                 │  Stakeholder management across C-suite      │
│  "Process improvement mindset"       │  33% faster insights (72hrs → 48hrs)        │
│  "Detail-oriented"                   │  200K+ transactions analyzed with precision │
└──────────────────────────────────────┴─────────────────────────────────────────────┘

  ◉  Business Requirements Documents (BRD)      — stakeholder-signed, zero ambiguity
  ◉  Functional Requirements Documents (FRD)     — dev-ready, testable, traceable
  ◉  Process Maps & BPMN Diagrams                — current state vs. future state
  ◉  User Stories + Acceptance Criteria          — clear, actionable, prioritized
  ◉  Executive Dashboards (Tableau, Power BI)    — decision-grade, not decorative
  ◉  ETL Pipeline Documentation                  — architecture that survives turnover
  ◉  Data Quality Audit Reports                  — 100+ monthly anomalies resolved
  ◉  UAT Test Plans & Validation Reports         — nothing ships unvalidated
  ◉  Root Cause Analysis Reports                 — $8M in billing issues caught
  ◉  KPI Frameworks & Operational Metrics        — tied to real business outcomes
  ◉  Stakeholder Communication Plans             — RACI matrices, status reports
  ◉  Data Governance Documentation               — policies, procedures, standards

Contribution Streak

🎯 Active Projects:
  - Building public portfolio projects demonstrating BA/DA skills
  - Contributing to open-source data analytics repositories
  - Documenting KPMG methodologies in reproducible case studies
  
📚 Currently Learning:
  - Advanced Machine Learning for business analytics
  - Generative AI applications in data analysis
  - Cloud data warehousing (Snowflake, BigQuery)
  - Advanced product analytics frameworks

🔮 Career Goals:
  - Lead data strategy for high-growth tech company
  - Build products that impact millions through data insights
  - Mentor next generation of business analysts

╔═══════════════════════════════════════════════════════════════════════════╗
║                                                                           ║
║                 📬   LET'S CONNECT                                        ║
║                                                                           ║
║   I don't just fill BA · DA · PA roles. I deliver measurable ROI.        ║
║   Let's discuss how I can create impact for your team.                   ║
║                                                                           ║
╚═══════════════════════════════════════════════════════════════════════════╝