
Aishwarya Gunjal
@aishwaryagunjal
I build reliable enterprise releases through Selenium automation, BDD testing, and end-to-end QA.
What I'm looking for
I've delivered end-to-end quality assurance for Capgemini projects, including Willis Towers Watson’s risk management and insurance platform showcased at RIMS 2024.
As the sole QA in an eight-person Agile team, I designed and executed 500+ manual test cases, developed test plans across 30+ sprint cycles, and helped deliver zero-defect releases.
I built and maintained Selenium C# automation for 80+ regression tests, reducing manual regression effort by around 30%. I also identified, logged, and tracked 200+ defects, contributing to an estimated 25% reduction in production issues.
On Service Link, I automated 150+ scenarios using Selenium Java and SpecFlow, created Gherkin feature files, and presented signed-off features to client stakeholders.
Experience
Work history, roles, and key accomplishments
Associate Consultant - Hybrid Quality Assurance
Nov 2020 - Aug 2024 (3 years 9 months)
Acted as sole QA in a cross-functional Agile team, delivering end-to-end testing for a risk management platform and automating regression tests. Identified and tracked 200+ defects, reducing production issues by ~25%.
Education
Degrees, certifications, and relevant coursework
University of Kent
Master of Science, Business Analytics
2024 - 2025
Grade: Merit
Completed an MSc in Business Analytics with Merit.
Coursera
Introduction to Data Analysis using Microsoft Excel, Data Analysis
2024 - 2024
Completed the Introduction to Data Analysis using Microsoft Excel course.
Coursera
Statistics for Data Science with Python, Data Science
2024 - 2024
Completed the Statistics for Data Science with Python course.
Coursera
Building Test Automation Framework - Selenium, C# & NUnit, Test Automation
2023 - 2023
Completed the Building Test Automation Framework - Selenium, C# & NUnit course.
University of Mumbai
Bachelor of Engineering, Engineering
2016 - 2020
Grade: CGPA 7.20/10
Earned a Bachelor of Engineering with a CGPA of 7.20/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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