I design analytics and ML systems that help teams act faster — from root causes to forecasts to next-best actions — grounded in supply chain experience and strong engineering.
Selected Projects
Detected KPI degradation before it surfaced in reports, enabling faster intervention.
Rebuilt KPI logic to correctly handle zero-activity and late-arriving data.
Automated reliable file conversion under strict enterprise constraints.
Built interactive real estate investment tools and data workflows.
6+ yrs • Data Science + Supply Chain • SQL/Python • Power BI • Product-minded • Builder
I'm a data scientist who fell in love with building products. For the past 6+ years, I've been in the supply chain trenches, using ML and data tools to solve real business problems.
I believe the best data science happens when you understand the domain deeply and can ship solutions that people actually use. That's why I focus on the full stack: from SQL queries to production pipelines to user-facing dashboards.
When I'm not optimizing inventory algorithms, I'm probably on a basketball court, hunting for records, or building side projects that scratch my own itches.
Pickup games, team leadership, and thinking about what makes a good rep.
Curating sets, discovering sounds, and experimenting with AI-driven transitions.
Street and portrait photography — composition, light, and timing.
Building tools that turn messy problems into usable systems.
Thoughts & Learnings
A practical framework for detecting KPI degradation early without triggering false alarms.
How to evolve reporting into systems that explain what changed and what to do next.
Notes on product decisions, data sources, and lessons from early user feedback.