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Most Power BI projects don't start with a dashboard.
They start with messy data.
And that's where the real analytics work happens.
I’m building my freelance service around data cleaning, transformation, analysis, and Power BI dashboards — turning scattered business data into something people can actually understand and use.
If the data is messy, that's not where I stop. That's where I start.
YOUR DASHBOARD MIGHT BE LYING TO YOU.
Not because Power BI is wrong.
Because the data underneath it is.
A beautiful dashboard built on messy data doesn't create better decisions.
It creates confident mistakes.
Duplicates.
Missing values.
Inconsistent names.
Broken...
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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Finally subscribed to Contra Pro🔥
I started using Contra a while back, but honestly, I didn’t pay much attention to it.
So I’m going to take it more seriously now and stay active here for the next months. I’ll be posting consistently and sharing what I’m working on.
Let’s see how Contra helps me grow my freelance business.
Would really appreciate your support along the way🙌
btw, I’m also taking on new website design and Framer projects this September. DM me if you have a project.🚀
great theme
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
