Summary
Gonzalo Borla is a Principal Data Scientist based in Vicente López, Argentina, with 11 years of experience blending mathematical rigor, econometrics and applied statistics to solve high-impact business problems. He has built and scaled ML systems across advertising RTB, fraud prevention, matchmaking and logistics—moving models from GLMs on billions of records to modern ensembles like LightGBM in production. A former engineering manager, he has experience professionalizing teams, defining reproducibility standards and career ladders while growing squads and migrating legacy estimators. He teaches statistics and machine learning at UBA and runs a consulting studio that delivers turnkey ML/DS solutions to technically under-resourced clients. Known as a “math nerd” and teacher at heart, he combines deep theoretical training (MSc in Mathematical Statistics) with pragmatic engineering and product-driven instincts. Less obvious: he repeatedly operates at the intersection of academia, public sector BI and high-throughput commercial systems, making him adept at translating rigorous models into operational, interpretable results.
11 years of coding experience
7 years of employment as a software developer
MSc in Mathematical Statistics, Statistics, MSc in Mathematical Statistics, Statistics at University of Buenos Aires
Spanish, English, French, Portuguese