Mohd Sahil completed Machine Learning for Automotive

Built an end-to-end used-car pricing workflow for VW and Audi listings: combined the datasets, explored price and mileage patterns, engineered age-based and mileage-intensity features, and trained both Linear Regression and Random Forest models. The work also included a business-facing recommendation for a Certified Pre-Owned team, with feature interpretation and pricing guidance grounded in model results.

• Exploratory Data Analysis
• Leakage-Aware Feature Engineering
• Model Comparison and Evaluation
• Business Translation of Model Results