Jaanya Goyal completed Machine Learning for Automotive

Built an end-to-end used-car pricing analysis for VW and Audi listings in the UK market. Combined the datasets, explored price and mileage patterns, engineered predictive features, and compared Linear Regression against Random Forest using R² and MAE. The work culminated in a clear CPO recommendation to use the Random Forest model as the primary pricing engine.

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