QA Engineer with 6+ years in Manual, Mobile, API, and Automation Testing
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Assessing your cultural and operational fit
Results-driven QA Engineer with 5.6 years of experience in Manual, Mobile, API and Automation Testing across web and mobile platforms. Strong expertise in requirement analysis, defect lifecycle management, API validation using Postman, backend data verification using SQL, and automation using Selenium WebDriver with Java. Experienced in Agile Scrum environments.
MIT College, Aurangabad (Dr. B.A.M.U. University)
Master of Computer Applications (MCA)
August 1, 2014 – June 30, 2016
Deogiri College, Aurangabad (Dr. B.A.M.U. University)
Bachelor of Science · Information Technology (B.Sc IT)
August 1, 2011 – June 30, 2014
Creative Skills Digital Pvt Ltd
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India
Kaleido Solutech Pvt Ltd
Software Tester
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Aviso Tech Solution
Software Tester
February 1, 2019 – September 30, 2019
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Bigmark Media
QA Analyst Trainee
January 1, 2017 – February 28, 2018
India
Selenium with Java
Unknown
June 1, 2026 – Present
Advanced Diploma in Software Testing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked in multiple companies, indicating adaptability to different organizational cultures. The experience spans various aspects of QA, from manual to automation and API testing, suggesting a broad skill set that can contribute to diverse project needs. The focus on web, mobile, and IoT applications shows versatility. The certifications in 'Selenium with Java' and 'Advanced Diploma in Software Testing' demonstrate a commitment to continuous learning and professional development, which aligns well with a culture of growth and improvement.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in Agile Scrum environments, indicating an ability to work effectively within team structures. The descriptions of designing and executing test cases, identifying defects, and ensuring quality releases suggest a detail-oriented and results-driven approach. The experience across various testing types (functional, regression, API, automation) demonstrates adaptability and a comprehensive understanding of the QA lifecycle.