
QA Engineer with 10+ years in QA Automation, specializing in API, UI, ETL, and AI 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
Associate QA Manager with 18+ years in QA, specializing in API, UI, ETL, and automation testing. Skilled in Playwright, Python, and AWS. Proven leader delivering high-quality releases in Agile environments, reducing defects and improving stability.
Madras University
MBA
June 1, 2011 – March 1, 2013
D.G. Vaishnav College
B.Com
June 1, 2004 – March 1, 2007
Clarivate
Associate QA Manager
January 1, 2022 – Present
Chennai, Tamil Nadu, India
Clarivate Analytics
Technical Lead QA
January 1, 2018 – January 1, 2022
Bengaluru, Karnataka, India
Clarivate Analytics
Lead QA Engineer
January 1, 2015 – January 1, 2017
Bengaluru, Karnataka, India
Thomson Reuters
QA Engineer
January 1, 2013 – January 1, 2014
Bengaluru, Karnataka, India
Thomson Reuters
Process Lead
January 1, 2007 – January 1, 2012
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate has a long tenure at Clarivate (10+ years across different roles) and Thomson Reuters (7 years), indicating loyalty and stability. Their progression from QA Engineer to Associate QA Manager demonstrates ambition and a commitment to growth within an organization. The diverse experience across API, UI, ETL, and automation testing, coupled with recent AI integration, suggests adaptability and a willingness to embrace new challenges, which aligns well with dynamic and evolving technical cultures. The MBA degree also indicates a broader business understanding.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and management skills, evidenced by leading teams, establishing KPIs, and driving process improvements. Their experience in coordinating UAT with enterprise clients and reducing defect turnaround times suggests strong communication and problem-solving abilities. The focus on risk-based testing and CI/CD integration indicates an operational fit for agile and fast-paced development environments. The adoption of AI tools for testing also points to an innovative and forward-thinking mindset.