Summary
Pablo Alvarado is a software and data engineer with a decade of experience building automation, analytics, and reporting solutions, currently based in Denver. With a foundation in Operations Research and Transportation Engineering from Pontificia Universidad Cat贸lica de Chile, he blends rigorous optimization thinking with practical Python-driven data engineering to streamline processes across transport, healthcare, and energy sectors. He has taught and assisted multiple university courses on programming, network flows, and urban analytics, translating academic problems into production-ready tools and training external teams. Notably, Pablo has hands-on experience turning photographic and mobile-phone datasets into actionable routing and segregation insights, evidencing a knack for geospatial and large-tabular data. Curious about machine learning and software development, he pairs research-oriented perspectives from his MSc studies with pragmatic automation that reduces manual reporting overhead.
10 years of coding experience
1 year of employment as a software developer
Magister, Magister at Pontificia Universidad Cat贸lica de Chile