What Abhrakanti demonstrated

Built an end-to-end used-car pricing workflow for VW and Audi listings: combined the datasets, engineered age and usage features, trained and compared Linear Regression and Random Forest models, and evaluated them with R² and MAE/RMSE. The final business summary translated model performance into a practical CPO valuation recommendation with feature-driver interpretation and risk-aware deployment guidance.

• Leakage-Free Feature Engineering
• Model Comparison and Metric Interpretation
• Business Translation of ML Results