Summary
Antonio García is an Analytics, Data Science, and IoT engineer with 11 years of experience building scalable data products and production-ready ML solutions across finance, consumer tech, and public sector. He has led data science teams and risk-modeling programs—automating ETLs, building BigQuery/DBT data models, and deploying analytics dashboards—while also shaping cloud infrastructure and statistical practice. Notable projects include price-prediction systems for used cars with multi-source matching and risk networks for automated VAT refund detection that saved tooling costs via R-based graph visualizations. Trained as an applied mathematician with a master’s in statistical computing from CIMAT and a stint at the University of Washington, he blends rigorous statistical foundations with pragmatic engineering. Outside work he curates data (and coffee), and brings an operator’s eye to turning complex statistical methods into actionable business insights.
11 years of coding experience
4 years of employment as a software developer
Summer Institute Statistics, Summer Institute Statistics at University of Washington
Universidad Nacional Autónoma de México (UNAM)
Master in statistical computing Data science , Master in statistical computing Data science at CIMAT (Center for Research in Mathematics)
Professional Program Financial Innovation in the Digital Age, Professional Program Financial Innovation in the Digital Age at IPADE Business School
Bachelor's degree Applied mathematics and computer sciences, Bachelor's degree Applied mathematics and computer sciences at Facultad de Estudios Superiores Acatlán
Spanish, English