Hardik Rawat 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, engineered predictive features, and compared Linear Regression with Random Forest using R², MAE, and RMSE. The work also included a business-facing assessment of pricing risk and a recommendation to keep premium-brand pricing under human review when model outputs fall outside expected ranges.

• Exploratory Data Analysis
• Leakage-Aware Feature Engineering
• Model Comparison and Interpretation
• Business Risk Framing