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QA Automation Engineer with 2+ years in Automation & API Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Associate Quality Analyst with experience in enterprise-level projects, ensuring software quality through comprehensive testing. Adept at improving testing processes, enhancing efficiency, and collaborating with cross-functional teams to deliver high-quality software solutions. Committed to continuous learning and adapting to evolving QA technologies.
SAGE University, Bhopal
Bachelor of Technology · Computer Science and Engineering
August 1, 2020 – June 30, 2024
A3logics India Pvt. Ltd.
Associate Quality Analyst
March 1, 2024 – Present
Jaipur, Rajasthan, India
E-Commerce Test Automation
June 28, 2026 – Present
Built a Selenium framework with Java, TestNG and by using Page Object Model(POM) to automate workflows like login, product search, cart, checkout, etc. Improved test efficiency, accuracy, and coverage while reducing manual effort.
View ProjectSoftware Testing Course
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in various hackathons and a tech project expo suggests a proactive and collaborative mindset, indicating a good cultural fit for innovation-driven environments. Their experience in an enterprise-level project and participation in Agile workflows show an ability to work within structured team settings. The breadth of testing skills (manual, API, automation, security, performance) and tools used (Selenium, Postman, OWASP ZAP, JMeter) indicates a versatile and adaptable individual.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills such as coordination, adaptability, collaboration, and communication, which are crucial for an Associate Quality Analyst role. Their involvement in Agile sprint planning and reviews indicates a good operational fit for team-based development environments. The resume highlights a commitment to continuous learning and adapting to evolving QA technologies, which is a positive trait for operational fit.