Sanjay Dilip
Data Analyst & ML/AI builder — I build end-to-end analytics systems: clean data in, dashboards and decisions out. My work sits at the intersection of BI (Power BI), analytics engineering (SQL + Python), and applied ML when it adds real value.
Featured Projects
- NBA Win Probability Engine
A machine learning dashboard predicting NBA game win probability before tip-off and live, play-by-play, validated through a real-time 2025-26 Finals run.
- WC2026 Format Evaluation
A Snowflake data pipeline and Power BI dashboard testing whether FIFA's 48-team World Cup expansion hurt competitive balance, backed by five statistically validated analytics marts.
- Levi's RAG — AI Due Diligence Copilot
A retrieval-augmented generation tool that answers financial due-diligence questions about Levi Strauss & Co. strictly from its SEC filings, with every answer tiered by evidence strength.
- Intelligent AI Workflow Automation
An operational decision-support system that predicts business-workflow risk from structured process data and pairs it with a fully separate, deterministic rules engine for KPIs, SLA alerts, and recommendations, surfaced in a live Streamlit dashboard.