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Your data isn’t the problem.
Not being able to understand it is.
I help businesses turn messy Excel/CSV data into clean, interactive Power BI dashboards that make important numbers easier to understand.
Instead of scrolling through hundreds of rows and manually creating reports, you get a dashboard where you can quickly see:
💠 Revenue & sales performance
💠 Growth and trends
💠KPIs & targets
💠Customer insights
💠Product/category performance
💠Interactive filters & drill-downs
My workflow is simple:
RAW DATA → CLEAN → MODEL → DAX → DASHBOARD → INSIGHTS
I work with Excel, Power Query, Power BI, DAX and Python/Pandas to turn raw business data into decision-ready reports.
Whether you need:
→ A simple Excel-to-Power BI dashboard
→ A sales or finance report
→ An operations dashboard
→ Data cleaning & transformation
→ A complete BI reporting workflow
I can help.
And I’m currently taking on a limited number of freelance projects while building my client portfolio.
Have a dataset sitting unused?
Send it my way. Let’s turn those rows and columns into something your business can actually use.
#PowerBI #DataAnalytics #FreelanceDataAnalyst
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 $150M and we are just getting started
Related posts
BEFORE: Client had messy Excel inventory with 500 rows, duplicates (A12 / a12), blanks, wrong prices like "$ 2.5" and "N/A", and different warehouse names (KER / ker / Kericho).
AFTER: I did:
Removed 12 duplicate SKUs
Standardized item names to Title Case
Fixed QTY and Prices to 2 decimals
Unified Warehouse to Kericho
Made sheet ready for pivot dashboard
Result: Clean, ready-to-use inventory in 2 days using Excel.
Tools: Excel, Remove Duplicates, Text to Columns, TRIM, PROPER
I designed and developed a Spotify-inspired Music Analytics Dashboard in Microsoft Power BI, combining data modelling, DAX, interactive navigation, and custom dashboard design into a single analytical experience.
The dashboard allows users to explore music data from different perspectives — from overall performance and popularity to individual artists, songs, albums, and trends over time.
What I built
- Overview Dashboard — high-level KPIs and music performance trends
- Artist Analytics — artist rankings, song counts, popularity and catalogue analysis
- Song Analytics — song popularity, duration, year-wise analysis and album insights
- Interactive Navigation — seamless movement between dashboard sections
- Dynamic Visual Analysis — monthly trends, popularity patterns and category comparisons
- Detailed Data Tables — deeper exploration beyond summary-level KPIs
- Spotify-inspired UI — dark, modern interface designed around the visual identity of a music streaming platform
Key metrics explored
- 342 Artists
- 789 Distinct Songs
- 562 Albums
- Average Song Duration: 3.28 minutes
- Average Popularity: 90
Tools & Skills
Power BI · DAX · Data Modeling · Data Visualization · Interactive Dashboard Design · KPI Development · Business Intelligence
The goal wasn't simply to create another Power BI report — it was to make the data explorable, intuitive and visually engaging.
Interested in turning your own data into an interactive Power BI dashboard? Let's connect.
Created an interactive Power BI dashboard to analyze mobile sales, customer trends, product performance, and sales metrics using data visualization and DAX.
