Damian Englot 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 including age and mileage-per-year, and compared Linear Regression against Random Forest using R², MAE, and RMSE. The work culminated in a clear CPO recommendation to use the stronger model as an automated pricing baseline.

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