I am passionate about solving complex problems in commodity trading through data-driven insights. Currently seeking a commodity trading internship to apply my quantitative skills and econometric techniques to analyze market trends and forecast prices. Let’s connect to discuss how I can add value to your organization.I am an MSc student in Agricultural and Consumer Economics at UIUC, specializing in commodity markets and financial engineering. With a solid background in econometrics and quantitative economics, I excel in data analysis, machine learning, and statistical modeling.My academic projects include developing regression models for the Ames Iowa Housing dataset and enhancing prediction accuracy with Random Forest and Lasso techniques. My research experience includes counterfactual analysis with factor models and sales predictions using machine learning.