What Kushal demonstrated

Built an end-to-end used-car pricing analysis for VW and Audi UK listings. Combined both brands into one dataset, explored price and mileage patterns, engineered predictive features, and compared Linear Regression with Random Forest using R² and MAE. The final recommendation positioned Random Forest as a decision-support tool for CPO pricing, backed by feature-importance insights and an operational risk estimate.

• Leakage-Free Feature Engineering
• Model Comparison with Business Framing
• Exploratory Data Analysis Across Segments