Valeria Garduño completed Machine Learning for Automotive

Built an end-to-end used-car pricing workflow for VW and Audi listings: combined the datasets, engineered age and mileage-based predictors, trained and compared Linear Regression and Random Forest models on a holdout set, and reported performance with R², MAE, and RMSE. The work also translated model results into a CPO pricing recommendation and a clear brand-premium insight for leadership.

• Leakage-Aware Feature Engineering
• Comparative Model Evaluation
• Business Translation of ML Results