Chittaranjan Govindaraju 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, and compared Linear Regression against Random Forest with honest evaluation metrics. The final recommendation selected Random Forest as the CPO pricing support tool and translated model performance into a business case with actionable guidance for human review on premium cases.

• Leakage-Free Feature Engineering
• Honest Model Evaluation
• Business Translation of Model Results