Muhammad Rayyan · Data Reporting Analyst
I build automated reporting workflows, accounts-receivable analysis, decision-ready dashboards, and dependable data-processing tools using Python, SQL, Microsoft Excel, and Power BI.
2+ years in healthcare RCMIBM Data Science Certified2 published case studies
Selected work
Healthcare reporting automation and data-quality work, with outcomes and their basis kept inside each case study.
Accounts Receivable · Automation
A desktop-controlled workflow that downloads provider aging exports from an enterprise reporting portal and builds a multi-sheet Excel workbook with bucket-level accounts-receivable analysis.
3hours Saved per reporting cycle on the download stage
Reporting · Automation
A Python desktop toolkit that consolidates recurring spreadsheet, text, CSV, and PDF reporting workflows into one interface with shared data-processing modules.
80% Reduction in manual reporting time
Expertise
Bucket analysis, payer-claim aging, days in AR, and AR review workflows.
Browser and desktop workflows that reduce manual report pulls and spreadsheet preparation.
Fixed-width exports, encoding detection, and schema alignment across source systems.
Decision-ready dashboards and analytical reports built with Power BI, Microsoft Excel, SQL, and Python.
Toolkit
Profile
I combine revenue-cycle context with practical automation so recurring reports are easier to run, review, and trust.
My work spans accounts-receivable analysis, portal automation, reusable Python tools, and decision-ready Microsoft Excel and Power BI reporting. The About page covers the professional context; the case studies show how the workflows are structured.
Contact
Hiring, reporting work, or a question about a case study — email is the fastest path.