Patrick Barton is a systems integration engineer and founder with 30+ years blending mathematical modeling, Python development, and energy policy analysis to turn complex datasets into strategic decision tools. He currently applies data science, AI, and full-stack development to petabyte-scale vehicle telemetry at Daimler Truck NA while running Portland Energy Strategies, which has delivered forecasting, supply-chain, and conservation models for clients from Sandia and Intel to the Bonneville Power Administration. An experienced instructor and author of two immersive Python training guides, he also teaches advanced courses for organizations including Judge Learning Solutions and Cambridge Web Design. His work spans enterprise engineering and hands-on R&D—he holds a patent-pending robotic and pattern-recognition system to selectively trap invasive Burmese pythons—and he has a track record of translating academic-grade energy modeling into practical commercial and policy outcomes. Based in Portland, he combines systems-level thinking from DOE and lab projects with pragmatic software delivery and mentoring experience.
10 years of coding experience
12 years of employment as a software developer
BA, Economics, BA, Economics at University of Michigan
MS, Engineering, Systems Engineering, Energy Policy, MS, Engineering, Systems Engineering, Energy Policy at Dartmouth College
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