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Interactive Sales Analytics Dashboard built in Tableau to analyze mobile phone sales performance. Tracked total revenue generated ($40.2M), units sold (50,074), average mobile prices, payment method preferences, sales trends over time, and regional revenue breakdown.
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After a long silence — Power BI has been consuming all my hours 🎯
Just wrapped Page 1 of a multi-page sales performance dashboard for a supermarket chain client. This is what I've been building quietly instead of posting 😅
The problem:
My client was tracking sales in scattered reports — no single source of truth for MOM (Month-over-Month) trends, store performance, or daily variations. Leadership had to hunt through multiple sheets to answer basic questions.
What we built:
A live Power BI dashboard that answers:
✓ Which stores are underperforming? (Rankings updated daily)
✓ How much did revenue grow last month? (MOM % at a glance)
✓ Are we hitting targets? (Real-time KPIs with trend indicators)
✓ Which products drive revenue? (Top 10 breakdown)
✓ How do weekdays vs weekends compare? (Day-over-Day trends)
The tech stack:
Data cleaned in Excel → Loaded to Power BI → Published online → Live slicers for filtering by date, store, category
Pages 2 & 3 in progress (Store Analysis + Returns Breakdown). But honestly? This work is the kind you don't post about until it's done. Now it is.
To anyone rebuilding their portfolio:
Real client work beats portfolio templates every single time. Even if you disappear from LinkedIn for 3 months, showing actual deliverables matters more than consistent posting.
#PowerBI #DataAnalytics #Dashboard #SalesAnalysis #BusinessIntelligence #DataVisualization #PowerBIDeveloper #RemoteWork #FreelanceAnalyst #DataDriven #Retail #Analytics
designing a library system taught me something simple, the person using it doesnt want features, they want answers. wheres this book, whos overdue, whats missing. so we built the screen around the questions not the modules. feels obvious after but its easy to miss haha
