Parth Akolkar completed Machine Learning for Automotive

Built an end-to-end used-car pricing analysis for VW and Audi listings: combined the datasets, explored price and mileage patterns, cleaned obvious data errors, engineered predictive features, and compared Linear Regression with Random Forest using R², MAE, and RMSE. The work culminated in a practical CPO recommendation grounded in feature importance and pricing error reduction.

• Exploratory Data Analysis
• Leakage-Free Feature Engineering
• Model Comparison with Regression Metrics
• Business Translation of Model Results