Analyzed a dataset of 558,000+ car records to uncover pricing trends across makes, models, states, and years. Built interactive visualizations using Python (seaborn/matplotlib) and a full Excel dashboard with filters for year, make, state, and transmission. Key insights include top-selling models, price vs. odometer relationship, and regional demand patterns.