Analyzed 8,400+ real retail orders to uncover why the company was losing profit on certain sales — identified that discounts above 5% on Furniture orders turn unprofitable, and delivered a data-backed pricing recommendation. Includes data cleaning, EDA, customer segmentation, and business insights using Python, Pandas, and Seaborn