I am proud to shine the spotlight on three exceptional students: Jerry, Gina, and Lynne who have just completed the Integrated Project 2025 at Columbia University with flying colors. Over the past months, this trio tackled a real-world business challenge: improving pricing accuracy and risk segmentation in auto insurance by moving beyond traditional GLMs and into the world of machine learning. From cleaning and transforming a large dataset, to training and tuning models ensemble models (e.g., XGBoost, CatBoost, and LightGBM), they worked with the precision, creativity, and perseverance that define great professionals.
Way to go, team!