E-commerce Sales Performance Analysis & Customer Segmentation

Analyzed 12 months of e-commerce sales data to identify key performance trends and customer segments. Used Python and pandas to clean and process over 50,000 transaction records. Created comprehensive dashboards showing monthly revenue trends, top-performing products, and customer buying patterns. Implemented RFM analysis to segment customers into high-value, at-risk, and new customer categories. Delivered actionable insights that identified 23% revenue growth opportunity in underperforming product categories.

Key Skills: Python, Pandas, Data Visualization, Customer Segmentation, Statistical Analysis

Tools Used: Python, Jupyter Notebook, Matplotlib, Seaborn, Excel

Duration: 3 weeks