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I genuinely enjoy turning messy data into something people can understand. 📊
There’s something satisfying about taking a spreadsheet full of inconsistent data, cleaning it, finding the story inside it, and finally turning that story into a dashboard.
That’s why I’m building my freelance work around Power BI & Data Analytics.
My process:
Messy Data → Clean Data → Transform → Analyze → Visualize → Insights
I work with:
• Excel & CSV data cleaning
• Power Query transformations
• Power BI dashboards
• DAX & KPI development
• Data modeling
• Sales & business analytics
• Interactive reports & visualizations
I don't want to create dashboards just because they look impressive.
I want every chart to have a reason.
Every KPI to answer a question.
And every dashboard to make the data easier to act on.
I'm continuously building, learning and improving my analytics work — and I'm now open to working on real freelance dashboard and data analytics projects.
If you have messy spreadsheets, scattered data, or numbers that aren't telling you anything useful yet—
I'd love to turn them into something that does.
Let's build something meaningful with your data. 🚀
#PowerBI #DataAnalytics #DataAnalysis #BusinessIntelligence #PowerQuery #DAX #Excel #DataCleaning #DataVisualization #Dashboard #BusinessAnalytics #FreelanceDataAnalyst
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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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
