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QA Engineer with 5+ years in Functional, Performance, API & Regression 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
A dedicated and results-driven QA professional with over 5+ years of experience in software testing, including functional, performance, API, and regression testing. Extensive experience working in Agile methodologies, defect management, and test case creation for web-based applications and telecommunication services. Proficient in tools such as Redmine, Postman, MySQL Workbench, and various test management systems. Adept at collaborating with cross-functional teams and delivering high-quality software solutions.
Pune University
B.C.A.
August 1, 2010 – June 30, 2010
Pune Board
H.S.C.
June 1, 2007 – May 31, 2007
Pune Board
S.S.C.
June 1, 2005 – May 31, 2005
GNT Pvt Ltd
QA Tester
September 1, 2021 – Present
India
Amdocs Pvt Ltd
QA Tester
February 1, 2019 – May 1, 2020
India
Amdocs Pvt Ltd
QA Tester
December 1, 2015 – May 1, 2017
India
Cultural Fit Analysis
The candidate's experience across different projects (web-based applications, telecommunication platforms) and involvement in client communication suggests adaptability and a collaborative mindset. Their focus on process improvement and active participation in team meetings aligns well with a culture that values continuous improvement and teamwork. The consistent role as a QA Tester across companies indicates a clear career path and dedication to the QA domain.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in communication, teamwork, and problem-solving, as highlighted in their professional summary and experience descriptions. Their experience in Agile environments, participation in sprint planning, and client communication indicate a good operational fit for collaborative and fast-paced development teams. The ability to handle high-pressure environments and meet deadlines is also a positive indicator for operational resilience.