Muhammad Usman

Analyzed 10,000 bank customer records to identify churn drivers using pivot tables and dashboards: segmented churn by country, gender, activity status, and product count, then added a country-level account behavior comparison. Built dynamic KPIs and insights that update automatically as data changes.

Still manually cleaning the same spreadsheet every month? There's a better way. 📊✨

I'm Muhammad, a Data Entry & Excel Specialist helping businesses turn messy, disorganized data into clean, accurate, and decision-ready spreadsheets.

Here's what I bring to the table:

🔹 Fast &...

Stop re-cleaning the same spreadsheet every month. 📊

A lot of businesses are stuck in this loop: download a report, manually clean it, copy-paste into a master file, repeat next month. I recently built a solution for exactly this problem — an automated Power Query pipeline that...

Amazon Seller Sales Dashboard (Self-Practice Project)