Rahul Tripathi

Senior Model Quality Analyst II

• Job Details:Executed, and maintained automated test cases using Python and C#.NET scripts for AWS applications, reducing manual tasks by 40% and saving 15 hours weekly. Enhanced test planning and cost-effectiveness, reducing test execution time by 40% with 25% higher test coverage. Achieved 95% line and branch coverage through comprehensive unit, integration, and regression test cases, ensuring robust and reliable software solutions. Developed a Python wheel package for extracting test attributes from the Python unit and integration test cases into JSON format, streamlining test data management and enhancing accessibility for the team. Wrote and reviewed Cypress test cases for end-to-end web automation of an Angular application, improving test case accuracy and coverage. Designed GitHub workflows for automated test case execution with email alerts, enhancing team communication and visibility into testing progress. Leveraged SQL for test data extraction, transformation, and loading, enabling precise data management and insightful reporting for quality assurance. Led the development and maintenance of test cases along with quality metrics analysis, integrating cross-functional feedback to streamline processes.

Catastrophe Risk Analyst

• Job Details:Optimized SQL queries using tuning techniques, achieving a 30% improvement in execution time and enhancing overall database performance. Created Tableau dashboards for quality metrics, enabling data-driven decisions and continuous improvement. Analyzed client portfolios, increasing risk exposure understanding by 25% and aiding in bug documentation. Automated ETL processes, reducing manual effort by 40%, enhancing test automation, and data accuracy. Conducted test case development on insurance data, improving data quality and reliability by 25%. Developed VBA interfaces between databases and Excel, cutting data processing time by 30% and boosting cross-functional collaboration. Provided analyses that increased revenue by 20%, improved troubleshooting, and strengthened customer issue resolution.