Projects
Featured case studies, ordered by relevance to analytics, data engineering, and applied ML/AI roles.
- 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.
- 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.
- Drug Interaction Checker
A command-line tool that checks a patient's medication list for drug-drug interactions and ranks them by severity, grounding every fact in a curated local dataset rather than an LLM's medical knowledge.
- Property Listing Generator
Turns a subject property, a handful of comps, and a listing style into a structured listing that leads with the property's genuine differentiators, decided by a deterministic comparison engine before any writing happens.
- MovieLens Recommender System
A full movie recommender system combining ALS collaborative filtering with a LightGBM hybrid ranking model, deployed as a Streamlit app.
- InsightPilot: An AI Data Analyst Agent
An agentic AI tool that turns raw CSVs into structured business insight reports, keeping every numeric claim grounded in Pandas-computed statistics rather than LLM guesswork.
- Letterboxd Movie Sentiment API
A sentiment system for messy, sarcastic Letterboxd reviews — weak labels from star ratings, a TF-IDF baseline, a fine-tuned DistilBERT model, and a FastAPI backend.
- Sim2Real User Engagement Analysis
A comparison of user-engagement and churn modeling between simulated anime-viewing data and real Steam gameplay data, examining how data realities shape modeling assumptions.
- Predicting Smartphone Addiction (Kaggle)
A gradient-boosting pipeline predicting smartphone addiction risk from self-reported usage data for a Kaggle Playground Series competition, built around a validated cross-validation harness and a frozen-control feature-engineering process.