Targeted market valuation framework for Audi vehicles. Implementing brand-specific machine learning regression to analyze price drivers, depreciation, and market segmentation in the luxury automotive sector.

Analysed 370k+ eBay car listings using Python, Pandas, and Matplotlib. Cleaned messy real-world data, removed outliers, explored relationships between price, mileage, age, and brand, identified value-retaining manufacturers, and built a simple vehicle price estimator using historical listing data.

ML classification system achieving 74.2% accuracy on 426K+ Craigslist vehicle listings. XGBoost model with 0.913 AUC.