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What Damian demonstrated

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

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