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Revenue Cycle Management Analytics Working to develop a Gen AI-powered model using Python libraries like Transformers and Scikit-learn, integrating it with health analytics dashboards to extract insights from human language inputs, improving data accessibility and decision-making. Engineered a system using Gemini Pro and SQLAlchemy that automatically converts human language into SQL queries, allowing for seamless database querying and results retrieval. Created a statistical process control chart for charges data using Plotly and pandas, integrated into a dashboard created using Streamlit, and designed to send alerts via Smtplib when charges exceed the upper control limit (3 sigma). Developed a Python script using PyPDF2 and Regex libraries to extract EOB payment details along with their respective coordinates from PDF payment receipts and load them into a database, improving data extraction efficiency. Automated the generation of weekly inventory Excel reports using Pandas, Regex and Openpyxl, streamlining workflows based on complex conditions. Designed and implemented monthly insights charts with Matplotlib, Seaborn, and Pandas, utilizing diverse datasets to provide comprehensive data analysis.