Vedant Kadam completed Machine Learning for Automotive

Built an end-to-end used-car pricing analysis for VW and Audi UK listings: combined the datasets, explored price and mileage patterns, engineered predictive features, and compared Linear Regression against Random Forest using R², MAE, and RMSE. The work culminated in a clear CPO recommendation to use the Random Forest model, supported by feature-importance insights and a quantified pricing impact example.

• Exploratory Data Analysis
• Feature Engineering for Predictive Modeling
• Model Comparison and Business Interpretation