“End-to-End Retail Sales Analysis Dashboard | Python, SQL, Power BI” 1️⃣ Problem Statement Problem Statement Retail businesses often struggle to understand sales performance across different regions, products, and time periods. The goal of this project was to analyze retail sales data and create an interactive dashboard that helps businesses easily track performance, identify trends, and make data-driven decisions. 2️⃣ My Role in the Project My Role • Collected and explored the retail sales dataset • Performed data cleaning using Python • Wrote SQL queries to extract key business insights • Used Power Query for data transformation and ETL • Built data models and DAX measures in Power BI • Designed an interactive dashboard with KPI cards and visualizations • Analyzed data to generate business insights and trends 3️⃣ Business Value Business Value • Helps businesses identify top-performing regions and products • Enables tracking of sales trends and seasonal patterns • Provides insights into profit margins and category performance • Supports data-driven decision making for sales strategy