kavya completed Machine Learning for Automotive

Built an end-to-end used-car pricing workflow for VW and Audi listings: combined the datasets, cleaned invalid rows, engineered age and mileage-intensity features, encoded categoricals, and trained both Linear Regression and Random Forest models with an honest train/test split. Compared models using R², MAE, and RMSE, then translated the results into a CPO-oriented pricing recommendation and business summary.

• Leakage-Free Feature Engineering
• Honest Model Evaluation
• Applied Business Translation