Mousumi Podder

Quality Assurance Automation Engineer

GeeksforGeeks•  July 2023 - Present•  Noida

Automated API testing with Pytest, boosting test suite reusability by 30% and slashing bug reports by 40%. Executed comprehensive functional and exploratory tests to guarantee software quality and performance by 45%. Excelled in both automation and manual testing for user interfaces, delivering a seamless and intuitive user experience. Contributed to multiple high-impact projects (HRMS, Community, Practice) showcasing versatility and adaptability. Maintained detailed reports and logged issues using JIRA, fostering transparency and effective team communication.

Software Test Engineer 2

Applied Research Works IPL(Cozeva)•  November 2022 - July 2023

Automated the "Export" feature and others using Selenium (Python & Java), building automation scripts for multiple modules from ground up and contributed 80%. Performed both manual and automated functional testing, UI testing, Cross-Browser Testing, and daily production environment verification, ensuring robust software. Demonstrated expertise in defect management by executing tests, reporting status, and tracking progress with Redmine, improving defect resolution efficiency by 25%. Collaborated closely with development and product teams for seamless integration and delivery of new features, boosting team productivity by 20%.

Software Engineer

Hexaware Technologies Ltd.•  September 2020 - October 2022

Actively participated in daily stand-ups, product planning, and agile ceremonies, ensuring smooth communication and collaboration within cross-functional teams. Created over 500+ test cases and conducted functional and UI automation testing using Java and TestNG. Performed regression and exploratory testing, amplifying team performance by 40% through reduced manual effort. Maintained detailed test run records, tracked bugs in Azure DevOps, and provided accurate bug reports and final sprint reports, enhancing transparency and accountability by 50%. Developed over 700+ utterances as test data to elevate bot training accuracy and spearheaded critical tasks like bot exploration, refining testing approaches, and devising effective test scenarios under AI project.