In this project, I analyzed Walmart sales data to identify patterns, trends, and key business insights that can help improve sales performance.
Project Steps:
• Data Cleaning and preprocessing using Python (Pandas)
• Exploratory Data Analysis (EDA)
• Sales trend analysis
• Customer purchase behavior analysis
• Data visualization using Power BI
Key Insights:
- Monthly and yearly sales trends
- Top-performing product categories
- Revenue distribution across branches
- Customer purchasing patterns
Tools Used:
Python
Pandas
NumPy
Excel
Power BI
This project demonstrates my ability to analyze real-world retail data and transform it into clear and actionable insights.