E-commerce Sales Data Analysis Dashboard

In this project, I performed a complete data analysis on an E-commerce dataset to extract meaningful insights that can help improve business decisions.

The project included:

• Data cleaning and preprocessing using Python (Pandas & NumPy)

• Exploratory Data Analysis (EDA)

• Identifying sales trends and customer behavior

• Creating interactive dashboards using Power BI

• Visualizing key performance indicators (KPIs)

Key Insights:

- Top selling products

- Sales trends over time

- Customer purchasing patterns

- Revenue analysis by category

Tools Used:

Python, Pandas, NumPy, Excel, Power BI

This project demonstrates my ability to transform raw data into actionable insights using modern data analysis tools.