Brandon Williams is a Lead Data Scientist based in Berlin with 11 years of experience applying probabilistic forecasting, scientific machine learning, and mathematical optimization to large spatio-temporal problems in energy and travel. He has progressed from analyst and instructor roles to senior and lead positions, most recently driving data science strategy at Renewcast after shaping forecasting and storage-optimization models at Equilibrium Energy. Brandon pairs a rigorous MS in Mathematics from NYU with hands-on production experience, translating complex models into operational systems that impact pricing and asset control. Known to describe himself playfully as a "patzer," he balances deep theoretical knowledge with pragmatic engineering, often working at the intersection of SciML/PiML and optimization where domain nuance matters.
11 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Mathematics, Master of Science (MS) Mathematics at New York University
Contributions:10 pushes, 1 branch in 8 years 1 month
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