About
With six years of experience, including three on petroleum trading desks, I have a broad background spanning statistical modeling, machine learning, ad-hoc analysis, visualization, tool development, automation, backend engineering, and model deployment, with applications in commodities trading and ground freight.
Skills
- Technology: Bloomberg, Python, Excel, Dash, R, Docker, PowerBI, AWS, SQL
- Modeling: time series, econometrics, machine learning, linear programming, S/D balances
View My Experience View My Education
Recent Projects
- Global petroleum supply/demand balance modeling
- Commodity Index Fund flow estimation using CFTC data
- End-to-end crude oil blending optimization application
For more information about my work and background, please explore the navigation links or contact me directly.