Summary
Matías Gavier is a data scientist and ML Ops-minded engineer with six years of experience applying statistical modeling and production-ready ML in fintech and banking across Argentina. He has driven credit-risk and lending-focused analytics at Mercado Libre and Banco Patagonia and now contributes to data products at Ualá, combining domain expertise in credit with hands-on deployment experience. Educated as an actuary at the University of Buenos Aires, he also taught programming, statistics and numerical analysis there—bridging theory and applied modeling while mentoring students. Comfortable with both research-oriented workflows and operational ML, he brings a practical focus on reproducibility and model governance that helps move pilots into production. A Buenos Aires–based practitioner, he pairs quantitative depth with real-world impact in consumer finance.
7 years of coding experience
Actuario, Actuario at University of Buenos Aires