Tamara Monge is a Senior Data Scientist based in San Francisco with eight years of experience applying machine learning, time series analysis, and optimization to EV mobility and energy systems. With a PhD in Atmospheric and Space Sciences, she brings rigorous numerical modeling and physics-driven thinking to production software—most recently building AI-driven smart charging and fleet-conversion tools that optimize costs and grid impact. She has delivered large-scale ML solutions at an electric utility (detecting energy theft across millions of smart meters) and translated complex analyses into actionable dashboards for operators during extreme weather. Comfortable bridging research and product teams, Tamara excels at explaining technical trade-offs to non-technical stakeholders and shipping robust engineering features. An early-career planetary scientist, she still draws on atmospheric dynamics and simulation techniques to solve practical energy and mobility problems.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Atmospheric and Space Sciences, Doctor of Philosophy (Ph.D.) Atmospheric and Space Sciences at University of Michigan
Certification Data Science Career Track, Certification Data Science Career Track at Springboard
Bachelor of Science (B.S.) Meteorology, Bachelor of Science (B.S.) Meteorology at Valparaiso University
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