Muhammad Abdullah completed Machine Learning for Automotive

Built an end-to-end used-car pricing analysis for VW and Audi listings in the UK market. Combined and explored the datasets, engineered predictive features, trained and compared Linear Regression and Random Forest models, and translated the results into a clear CPO pricing recommendation grounded in model performance and key price drivers.

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