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.
- 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.
- Supply Chain Disruption Analytics
An end-to-end Azure pipeline that takes shipment-delay monitoring from raw CSVs to a statistically validated, predictive delay-risk scoring system with a Power BI dashboard.
- MovieLens Recommender System
A full movie recommender system combining ALS collaborative filtering with a LightGBM hybrid ranking model, deployed as a Streamlit app.