Simranjeet Kaur completed Machine Learning for Automotive

Built an end-to-end used-car pricing workflow for VW and Audi listings: combined the datasets, explored price and mileage patterns, engineered age-based features, encoded categoricals, and trained both Linear Regression and Random Forest models. Compared models with R², MAE, and RMSE, identified mpg, car_age, and engineSize as key price drivers, and recommended Random Forest as a pricing support tool for the CPO team.

• Leakage-Aware Feature Engineering
• Comparative Model Evaluation
• Business-Oriented ML Communication