Happy Odole 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-per-year features, trained and compared Linear Regression and Random Forest models, and tuned the forest with GridSearchCV. The final write-up translated model performance and feature importance into a practical CPO pricing recommendation with example price estimates for a VW Golf and Audi A4.

• Leakage-Free Feature Engineering
• Honest Model Evaluation
• Model Comparison and Tuning
• Business Translation for Stakeholders