This Power BI project allowed me to work with a structured relational database consisting of Orders, Customers, Products, and Regions tables. Using SQL Server for data extraction and Power BI for modeling and visualization, I developed a clear understanding of business insights from raw data.

👨‍💻 What I Did:

• Cleaned and structured datasets using SQL queries.
• Built meaningful data relationships between tables in Power BI.
• Created calculated columns and DAX measures such as:
  • Total Revenue
  • Total Quantity
  • Average Order Value
• Visualized key insights using:
  • Bar Chart: Revenue by Product Category
  • Line Chart: Revenue Trend by Month
  • Pie Chart: Revenue Contribution by Region
  • Table: Monthly Revenue Breakdown

🎯 What I Learned:

• How to use Power BI's data model and relationships effectively.
• Writing efficient DAX formulas for dynamic calculations.
• Designing clear and insightful data visualizations.
• Connecting SQL to Power BI for live, refreshable dashboards.

VIEW PROJECT IN DETAIL ⬇️

End-to-End Sales Analytics Dashboard - SQL + Power BI