Scott Weitzenhoffer is a Data Science Advisor based in Houston with nearly two decades of hands-on experience building data products and analytical applications across energy markets. He blends deep quantitative skills from an academic physics and quantitative finance background with practical software craftsmanship in R, Python, SQL, C-family languages, VBA and enterprise ETL. Scott has driven portfolio optimization, retail C&I margin forecasting, and trader-facing visualization tools that materially increased profitability and operational efficiency at firms like bp and EDF. He is also an experienced instructor and mentor, regularly teaching SQL, PowerQuery and Python to colleagues and students, and has a track record of automating error-checking and reporting to enable reliable nightly forecasts. Comfortable across front, mid and back office domains, he pairs modeling rigor with production-grade engineering to turn messy utility and trading data into actionable insight. A less obvious strength is his longevity in the energy sector—he repeatedly translates domain knowledge into repeatable tools that reduce manual effort and improve decision quality.
8 years of coding experience
18 years of employment as a software developer
Master of Business Administration (M.B.A.) Quantitative Finance, Master of Business Administration (M.B.A.) Quantitative Finance at Gies College of Business - University of Illinois Urbana-Champaign
Bachelor's Degree Physics, Bachelor's Degree Physics at Cornell University
Master's Degree Physics, Master's Degree Physics at University of Illinois Urbana-Champaign
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