Summary
Andrea Navarrete is a Senior Data Scientist with a decade of experience applying machine learning and data engineering to product and policy problems across fintech, govtech, and consumer platforms. She has led data science teams at SeatGeek and shipped high-impact models at companies like Better and Tala, blending research-grade techniques from Columbia's MS in Data Science with production-focused delivery. Her background includes policy-oriented projects—early warning systems for police and NLP-driven citizen petition classification—demonstrating strength in socially impactful analytics. Comfortable with spatial, topic-modeling and time-series problems, she has applied ML to mortgage valuation, urban expansion, and program-targeting dashboards for Mexico’s social development agency. Based in Greater Mexico City, she combines international training and public-sector experience to bridge technical rigor with pragmatic product outcomes. Colleagues describe her as a data scientist who moves smoothly from prototype research to scalable, auditable models in production.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics (semester abroad), Bachelor of Science - BS Applied Mathematics (semester abroad) at Trent University
Master of Science - MS Data Science, Master of Science - MS Data Science at Columbia University
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Instituto Tecnológico Autónomo de México
Spanish, English