A small selection of things I’ve built. I care about problem framing, tradeoffs, and measurable impact—not just tools.
Data transparency + cost/usage visibility for analysts
Built a daily-refresh audit system to surface table usage, never-queried assets, and query patterns so analysts could reduce data debt and improve transparency.
Operational dashboarding for athletics ticketing
Created a ticket-traffic dashboard to track demand and performance trends, making it easier for non-technical stakeholders to monitor activity and act quickly.
Applied ML support for enterprise manufacturing workflows
Designed and implemented a feature engineering pipeline to support model development and evaluation for real operational decision-making in a manufacturing context.
Optimization model to improve win probability under constraints
Formulated and solved an optimization model (with realistic constraints) to generate an “optimal” schedule strategy and analyze tradeoffs that influence outcomes.
Computer vision model training + evaluation
Trained and compared deep learning models for facial emotion recognition with clear metrics, error analysis, and practical tradeoffs around performance and complexity.