I am a detail-oriented Data Analyst with experience in leveraging Python, SQL, Excel, Tableau, and Power BI to transform raw data into actionable insights. My expertise lies in data cleaning, visualization, and automation, enabling data-driven decision-making across healthcare and financial domains. Experience 🔹 Claims Resolution Analysis Technologies: SQL, Power BI, Excel Cleaned and analyzed claim denial data using SQL, leading to a 20% reduction in denials. Developed Power BI dashboards with optimized data models to identify trends and enhance decision-making. 🔹 Coverage Validation Enhancement Tools: SQL, Tableau, Excel Normalized insurance data with SQL, reducing verification errors and improving data integrity. Designed Tableau dashboards that increased validation accuracy by 15% through structured data modeling. 🔹 Revenue Cycle Analytics Tools: Power BI, Power Query, Excel Automated data cleaning using Power Query, streamlining data processing and reporting. Developed insightful Power BI dashboards that boosted revenue cycle efficiency by 25%. 🔹 Receivables Monitoring and Analysis Tools: SQL, Tableau, Excel, Python Cleaned receivable data with SQL and created Tableau dashboards for optimized collection tracking, improving efficiency by 18%. Automated patient statement generation in Excel, reducing manual errors and improving accuracy. Utilized Python for advanced data analysis, trend forecasting, and anomaly detection in financial data. I am passionate about solving complex business challenges using data-driven strategies and continuously expanding my technical skill set to optimize analytical workflows.