Post by Rakesh Runkana

Data Analyst | SQL | Python | Power BI | ETL | Workflow Automation.

Healthcare Analytics using Python. I recently worked on a healthcare analytics project using Python (Pandas & Matplotlib) to analyze claims data and understand revenue cycle performance. What I did: • Cleaned and prepared the dataset using Pandas (handled missing values, duplicates, and date formats) • Created new features like: - Outstanding Balance, Payment Days, Denial Flag Key KPIs analyzed: ✔ Denial Rate ✔ Total Billed vs Paid Amount ✔ Revenue at Risk ✔ Average Payment Days Visualizations created using Matplotlib: • Monthly Payment Trends • Denial Reason Distribution • Top Payers by Payment • AR Aging Analysis Key Insights: • Identified major denial reasons affecting revenue • Observed delays in payments from certain payers • Highlighted high outstanding balances and aging risks #Python #Pandas #Matplotlib #DataAnalytics #HealthcareAnalytics #DataDriven #DataIntelligence #DenialAnalysis

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