What Suleman demonstrated

Built an end-to-end used-car pricing workflow for VW and Audi listings: combined the datasets, engineered age and usage-density features, trained Linear Regression and Random Forest models, and compared them with R², MAE, and RMSE. Also generated feature-importance insights and framed the results for a certified pre-owned pricing team with an API-based deployment recommendation.

• Leakage-Aware Feature Engineering
• Model Comparison and Metric Evaluation
• Business Translation of ML Results