Retail Sales Data Analysis (Python + Excel)

Analyzed 1,200 retail sales transactions using Python (Pandas, NumPy, Matplotlib, Seaborn) and Excel.

The project included data cleaning, feature engineering, exploratory data analysis (EDA), and visualization.

Delivered a final insights report and interactive visualizations highlighting sales trends, top/bottom products, and store performance.