QA Automation Engineer with 4+ years in Banking domain and Cloud platforms.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and result-driven QA Analyst with 4.5 years of hands-on experience in Manual and Automation Testing across the Banking domain. Expert in designing, executing, and automating test scenarios for complex financial systems. Proficient with Postman, Selenium, and JIRA and well-versed in SDLC, STLC, and Agile/Scrum. Known for driving continuous quality improvement, defect reduction, and faster release validation through structured testing and collaboration.
K.K. Wagh Institute of Engineering Education and Research
B.E. · Electrical Engineering
N/A – June 30, 2021
Infosys Ltd.
QA Analyst (Test Analyst)
September 1, 2021 – Present
Pune, Maharashtra, India
Infosys Certified Quality Engineer
Infosys
June 1, 2026 – Present
Infosys Certified SDET
Infosys
June 1, 2026 – Present
Selenium Automation- Infosys Internal Certification
Infosys
June 1, 2026 – Present
Agile Methodologies– Infosys Training
Infosys
June 1, 2026 – Present
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in a large service-based company (Infosys) suggests adaptability to structured environments and diverse project requirements. Their involvement in multiple banking projects and cloud migration indicates a willingness to learn and adapt to new technologies and domains. The certifications in Agile and Azure Fundamentals further support a proactive learning attitude. However, the lack of diverse company experience or personal projects limits the assessment of broader cultural fit beyond a corporate setting.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with BAs, POs, and stakeholders, and active participation in Agile ceremonies. Mentoring junior QA engineers indicates leadership potential. The focus on defect reduction and data consistency aligns well with operational excellence in a QA role.