Work
Professional engagements and independent builds. Each one started with a real problem.
Ipsos MMA
Marketing mix models shared across international offices were constantly crashing — no version control, hardcoded formulas, inconsistent documentation. I created structured Excel templates that centralized assumptions and moved collaboration to dedicated Microsoft Teams channels. Analytics model crashes were eliminated.
Ipsos MMA
General Motors has 48 nameplates — each requiring its own marketing mix model. The engagement was the largest the team had handled. As part of the US delivery team, I organized the data collection, validation, and QA processes that made delivery effective across all 48 marketing mix models.
LLM-Powered Song Analyzer
A single tool that separates the instruments, identifies the key, and tells you what the chord progression actually is. As a musician, I found nothing that could take a real song and explain the theory behind it — so I built one from scratch, directing Claude as the implementation layer, and deployed it with Flask.
Real-Time AI Conflict Intelligence — For Civilian Use
I wanted what intelligence agencies have — live conflict data, filtered and verified. The raw feeds are public; it’s just buried under hundreds of thousands of unverified daily events. I built the filtering and satellite verification pipeline from scratch using public data — pulling directly from Palantir’s open source documentation.