Stephane Rios is a data scientist with 10+ years of experience applying Bayesian statistics, machine learning and GIS to inform decision-making across public policy, international development and commercial analytics. He blends rigorous academic training (MPA from Columbia, M.S. in Data Science) with hands-on technical skills in R, Python, databases and spatial analysis to deliver actionable intelligence for governments, NGOs and retailers. His career includes directing mobility information in Mexico City, GIS work for MSF and consulting roles that translated complex datasets into strategic recommendations. Comfortable both as an independent consultant and as a team leader, he has a track record of building predictive spatiotemporal models—his thesis work focuses on crime prediction in Mexico City—linking maps and models to operational outcomes. Based in Mexico City, he brings a rare combination of policy fluency and geospatial expertise that makes data-driven public programs and retail optimization measurably better.
10 years of coding experience
6 years of employment as a software developer
Public Administration, Development Practice, GPA 3.8, Public Administration, Development Practice, GPA 3.8 at Columbia University - School of International and Public Affairs
Technical Diploma in Applied Geomatics, Geographical Information Systems, Spatial Analysis, Remote Sensing, Technical Diploma in Applied Geomatics, Geographical Information Systems, Spatial Analysis, Remote Sensing at Centro de Geografia y Geomatica
Graduate Diploma, Environmental Studies and Sustainable Development, Graduate Diploma, Environmental Studies and Sustainable Development at Universidad Iberoamericana, Ciudad de México
Exchange Student, telecommunications engineering and business administration, Exchange Student, telecommunications engineering and business administration at Télécom SudParis
High school, Baccalaureat scientifique., High school, Baccalaureat scientifique. at Liceo Franco Mexicano
Computer Systems Engineer, Information Technologies, 9.2, Computer Systems Engineer, Information Technologies, 9.2 at Instituto Tecnológico y de Estudios Superiores de Monterrey
Master of Science (M.S.), Data Science, GPA: 9.0 Thesis pending: SpatioTemporal predictive model of crime in Mexico City, Master of Science (M.S.), Data Science, GPA: 9.0 Thesis pending: SpatioTemporal predictive model of crime in Mexico City at Instituto Tecnológico Autónomo de México
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