1. Led 5 projects and managed a team of 6+ members,recognized for outstanding contributions.2. Developed a Denial Prevention Engine using XGBoost toreduce healthcare insurance claim denial rates. The finalversion of the model could capture a 70% of overall riskyclaims with 75% accuracy.3. Implemented an OCR Engine to convert scanned EOB tomachine-readable text and increased the OCR accuracyfrom 40% to 80% using Pytesseract and fine-tuned DLmodel such as DONUT.4. Created a Smart Allocation utility to allocate audioinventory to scribes more efficiently. a. Designed arobust data extraction system that interfaces withmultiple databases and data storage systems. b. Theutility has been successfully operational for the past twoyears, reducing failure rates from 30% to approximately1%.5. Ongoing projects : a. Audio Quality Enhancements and b. Grammatical Error Correction (GEC) model forgrammatical and contextual errors in medical chart notes

1. Part of the Center of Excellence (COE) team focusing ondata analytics and automation using Python in CyberSecurity domain.2. Identifying potential risks in next-gen firewall a. Segregated security policies into high, medium, and lowrisk categories based on past data flow analysis. b. Developed an anomaly detection system to create alertsfor sudden changes in traffic patterns. c. Successfully tested various use cases in an Azure environment beforedeploying the system to three client accounts.3. Security Operations Automation a. Automated security operations using Python, including bulk IP blocking,firewall policy creation, and deletion. b. Streamlined document processing tasks for enhanced efficiency