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QA Engineer with 4+ years in Manual and Automation 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 QA Engineer with 4.6+ years of experience in manual and automation testing across diverse domains including HRMS, Healthcare, E-Learning, Affordable Housing, and E-Commerce. Proficient in Selenium with Java for UI automation, REST API testing using Postman, and defect lifecycle management using Jira, TFS, and Bugzilla. Experienced in Agile/Scrum environments with a strong track record of delivering high-quality software through rigorous functional, regression, integration, and cross-browser testing. Adept at collaborating with cross-functional teams to identify, report, and resolve defects efficiently.
Sethu Institute of Technology
Bachelor of Engineering · Mechanical Engineering
January 1, 2014 – January 1, 2018
DigiSME Software Pvt Ltd
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Pragvas Technologies LLP
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Techmango Technology Services Pvt Ltd
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Xsosys Technology Pvt Ltd
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IIT Madras (IITM)
Project Associate (QA)
December 1, 2019 – June 1, 2020
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate has worked across six different organizations and diverse domains, indicating adaptability and a willingness to engage with varied project requirements. Their experience in Agile/Scrum environments and collaboration with cross-functional teams suggests a team-oriented mindset. The breadth of skills, from manual to automation and API testing, aligns well with a dynamic QA role requiring versatility.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum environments, managing defect lifecycles, and handling support tickets. Their ability to collaborate with cross-functional teams and provide root cause analysis indicates good problem-solving and communication skills. The diverse project experience suggests adaptability and a proactive approach to identifying risk areas.