Alex Schmitt is a PhD-trained economist and senior analyst based in Munich with a decade of experience applying machine learning, economic modeling and data science to climate and energy policy. He has blended academic rigor from a long post-doc and lecturing career with hands-on industry analytics roles at Energy Brainpool and now Montel, delivering actionable models for energy markets. Equally comfortable coding in Python as crafting policy-relevant research, he focuses on turning complex climate-economic problems into reproducible, data-driven solutions. His teaching of computational methods and climate economics hints at a rare mix of communication skills and technical depth that helps bridge research, stakeholders and operational teams. Colleagues describe him as intellectually curious and constantly experimenting with new methods to improve forecasting and scenario analysis.
10 years of coding experience
Master of Arts (M.A.) Economics, Master of Arts (M.A.) Economics at Simon Fraser University
Master of Science (M.Sc.) Economics, Master of Science (M.Sc.) Economics at University of Regensburg
Doctor of Philosophy (PhD) Economics, Doctor of Philosophy (PhD) Economics at Stockholm University
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.