Sam Dcruze completed Machine Learning for Automotive

Built an end-to-end used-car pricing analysis for VW and Audi listings: combined the datasets, performed EDA on price, mileage, and brand differences, engineered predictive features, and compared Linear Regression with Random Forest using R² and MAE. The work culminated in a clear CPO-oriented recommendation to use the stronger model for standardized trade-in valuation and margin protection.

• Exploratory Data Analysis
• Feature Engineering
• Model Comparison and Evaluation
• Business Translation