Divya Nagaraj

Working as a Product Testing & Quality Assurance Working Student, bringing prior experience in software and product testing to support high-quality product delivery. Actively involved in designing and executing test scenarios, identifying and documenting defects, analyzing logs, and validating fixes in collaboration with development and QA teams. Contributing to improved test coverage, system stability, and overall user experience through structured and detail-oriented testing practices.

Developed and executed automated test scripts using Python to validate software functionality and performance. Performed functional, regression, integration, and API testing to ensure software quality and reliability. Analyzed system behavior, identified defects, and collaborated with developers to resolve technical issues. Worked with REST APIs, Linux environments, and backend services to validate system integrations. Supported software development and automation workflows in Agile (Scrum) teams. Contribut

Developed and executed automated test scripts using Python to validate software functionality and performance. Performed functional, regression, integration, and API testing to ensure software quality and reliability. Worked with REST APIs, Linux environments, and backend services to validate system integrations. Supported software development and automation workflows in Agile (Scrum) teams. Contributed to improving application performance, software quality, and process efficiency.

As a Quality Assurance Engineer at Clarivate, I ensured the delivery of high-quality, reliable software by designing and executing detailed test plans and performing both manual and automated testing. Developed and maintained automated test scripts to improve efficiency Collaborated with cross-functional teams to identify, track, and resolve defects Contributed to product stability through performance and regression testing Focused on enhancing test coverage and reducing release cycle times

Pursuing a Master’s in Artificial Intelligence. Focused on machine learning, deep learning, data science, and AI applications. Engaged in hands-on projects and research to develop practical solutions for real-world problems. Actively participating in seminars, workshops, and collaborative tech init