• Improved production model performance by 15%, resulting in a $10 million monthly revenue increase for clients by resolving data drift issues using feature extraction, statistical modeling, and A/B testing.• Increased issue detection by 18% for 25 million daily customer interactions through SQL and Python programming.• Led quarterly deployments and coordinated with Account Managers, ensuring timely and efficient project completion.• Developed Python scripts to enhance JIRA tier-1 investigation processes, utilizing a backend MySQL database, reducing processing time from 15 minutes to 4-5 minutes, and improving efficiency by 300%.• Collaborated with AI, ETL, and Business Analytics teams to enhance performance and minimize losses for Afiniti.• Extracted and analyzed data from JIRA to generate management reports, utilizing MS Excel for meaningful data translation.• Prepared demographic reports using SQL Server and MySQL as requested by Production Support leadership.• Authored technical documentation and knowledge base articles to assist team members and improve knowledge sharing.• Researched, diagnosed, and troubleshot technical issues, providing effective solutions to ensure customer satisfaction.• Utilized data visualization tools such as Grafana and Excel to extract key insights and present data in an easily understandable format.