Summary
Juan Martinez-ovando is a Master Expert Data Scientist with 15+ years translating advanced statistics, Bayesian methods, and AI into measurable business value across banking, manufacturing, and public policy. He currently leads Generative AI strategy at BBVA, driving LLM R&D, reproducible ML initiatives, and UX evaluation frameworks while mentoring talent through the BBVA Foundation. Juan pairs academic rigor—PhD in Statistics and a track record of peer-reviewed work and reproducible research—with hands-on delivery, having built end‑to‑end analytics ecosystems (AWS, Databricks, Snowflake) that generated multi‑million MXN revenue streams. He is equally at home crafting causal models and privacy-aware anonymization approaches as he is implementing MLOps, knowledge graphs, and CI/CD for production AI. A seasoned instructor and collaborator, he maintains active teaching roles and a history of public-sector impact (e.g., novel methods for national cash flow estimates), which reflects a rare blend of research depth and enterprise execution.
10 years of coding experience
12 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
de Castro Research Fellow Bayesian Econometrics, de Castro Research Fellow Bayesian Econometrics at Università degli Studi di Torino
B.Sc. Actuarial Science, B.Sc. Actuarial Science at Instituto Tecnológico Autónomo de México
Ph.D. Statistics, Ph.D. Statistics at University of Kent
Spanish, English