Santiago Toso is a Data Science Principal based in Barcelona with eight years of experience specializing in geospatial analytics and transportation systems. He builds scalable ML and data-engineering solutions—using Python, Kubernetes, Docker, AWS and Snowflake—that power real-time transit pipelines, map-matching, and vehicle speed prediction from GTFS and GPS feeds. He has led product-facing analyses and pilots at Remix and Via, translating complex transit data into actionable visualizations with tools like KeplerGL and Plotly and deploying models to production via MLflow. As an open-source contributor he authored gtfs-functions, a practical Python package that turns GTFS into GeoDataFrames for spatiotemporal analysis and mapping. His background in industrial engineering and optimization gives him a rare blend of operational domain knowledge and hands-on modeling expertise, from Bayesian survival models to passenger-load conflation projects.
8 years of coding experience
7 years of employment as a software developer
Industrial Engineer Industrial Engineering, Industrial Engineer Industrial Engineering at Universidad Nacional de Cuyo
Máster in Data Analytics & Cognitive Intelligence Tecnología de la información, Máster in Data Analytics & Cognitive Intelligence Tecnología de la información at MSMK
Master's degree Science and Technology - Conception Innovation et Industrialisation, Master's degree Science and Technology - Conception Innovation et Industrialisation at Arts et Métiers - École Nationale Supérieure d'Arts et Métiers
Ingénieur Industriel Industrial Engineering, Ingénieur Industriel Industrial Engineering at Ecole nationale d'Ingénieurs de Metz
Contributions:46 pushes, 1 branch in 1 year 2 months
graphqlgraph
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.