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Analyzed café sales data using Python, SQL, and Power BI to identify top-performing branches, products, sales trends, and customer satisfaction insights. Built an interactive dashboard to turn raw sales data into clear business insights.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Performed end-to-end e-commerce sales analysis using Python, SQL, and Power BI. Analyzed revenue, profit, product performance, customer orders, and regional trends to uncover insights that can support better business decisions.
E-Commerce Sales Dashboard | Power BI & SQL
Built an interactive e-commerce sales dashboard using SQL and Power BI to analyze revenue, profit, orders, product performance, customer performance, and monthly sales trends.
Key features:
Revenue and profit KPI tracking
Monthly revenue trend analysis
Category and product performance
Top customer analysis
Interactive Year, Month, Category, and City filters
Revenue summary and business insights Tools: SQL, Power BI, Data Analysis, Data Visualization
POWERBI DASHBOARD
Built an interactive Power BI sales and business intelligence dashboard to transform raw business data into actionable insights. Used Power Query for data cleaning and transformation, created a relational data model, developed DAX measures, and designed interactive visualizations to track sales, revenue, profit, customers, products, and regional performance.
