Summary
Geoff Perrin is a Senior Data Scientist with 11 years of experience building production ML systems, geospatial analytics, and data pipelines across fintech and urbanist domains. He has driven multimillion-dollar public benefits in city governments—designing occupancy and outreach models used in policy and litigation—and built underwriting and fraud models that cut losses by over $1M annually. Comfortable across the stack, Geoff combines advanced causal inference, LLM-derived features, and scalable ETL to reduce latency, improve accuracy, and expand product impact. He’s led open-data audits to strengthen municipal transparency and has a track record of translating complex spatial and social problems into actionable models and policy recommendations. Based in New York, he pairs technical depth with civic-minded projects spanning Detroit, Guadalajara, Bogotá, CDMX, Pittsburgh and Miami, and often operates in Spanish to bridge data and stakeholder needs.
11 years of coding experience
8 years of employment as a software developer
BS Economics Financial Mathematics German, BS Economics Financial Mathematics German at University of Michigan
Master’s Degree Urban Informatics, Master’s Degree Urban Informatics at NYU Center for Urban Science + Progress
English, German, Spanish