The Vehicle Price vs. Mileage project aims to analyze the relationship between a vehicle’s price and its mileage to identify depreciation patterns and support buying or selling decisions. I was responsible for data cleaning, exploration, and analysis, as well as building visualizations that demonstrate how mileage impacts market value. I used Python alongside Pandas for data manipulation, Matplotlib/Seaborn for visualization, and core statistical analysis concepts. Through this project, I strengthened my skills in Exploratory Data Analysis (EDA), result interpretation, and visual communication of insights, documenting the entire process in commented notebooks and a comprehensive README explaining key decisions and findings.