Summary
Sasha Trubetskoy is a Senior Data Scientist with 11 years of experience specializing in cartography, spatial analytics, and full-stack machine learning systems. A University of Chicago statistics graduate, he has built production ML applications and counterfeit detection algorithms at the FDA while leading interdisciplinary teams and interfacing with senior leadership. His background spans international development mapping at the World Bank, genomics-linked environmental modeling, and hands-on client work in logistics, fraud detection, and location intelligence. Proficient across Python, Go, Java, Postgres/PostGIS, Neo4j and modern web-mapping stacks, he combines rigorous statistical thinking with polished visual storytelling—his maps and analyses have informed publications and even been presented at high-profile venues. Notably, he brings both research-grade data skills and product-minded engineering experience, rapidly turning messy spatial datasets into actionable, well-documented tools.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at The University of Chicago
French, Russian, English