Kashish Kaverappa T H 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 trained both Linear Regression and Random Forest models. The work culminated in a clear recommendation to use Random Forest for production pricing, supported by metric comparison and feature-importance interpretation for a Certified Pre-Owned team.

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