Aug 2022 – Jan 2025 · 2 yrs 5 mos · Bengaluru, Karnataka, India · On-site

• Created and implemented trading signals for commodities, including Cash vs. Future convergence, later adopted as trading models.
• Built a regression model to forecast corn crop yields using weather data, achieving R² = 0.63 and RMSE = 8.1 bushels/acre, enhancing production estimates.
• Conducted feature research on fundamental data (trade flows, supply & demand, planting progress) and built dashboards for trend analysis and decision-making.
• Improved future forward curve predictions for illiquid commodity segments by incorporating market insights and nearby liquid segments (front-month futures, calendar spreads).
• Scaled future forward curve model by integrating new datasets, supporting a diverse range of assets, including Base Metals and Grains.

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

• Developed a user-friendly tool that bridges the gap between testers and developers by providing first level analysis on both on-router and off-router reported errors
• Automated the basic debugging steps to provide meaningful technical triages before filing a bug
• Utilized Python and regex to extract logs and provide targeted debugging solutions, empowering testers to resolve issues faster