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QA Automation Engineer with 5+ years in test automation, Agile, and AI tools.
Versatile QA and Test Automation Specialist with extensive experience driving end-to-end testing, defect management, and data validation across diverse enterprise applications and integration projects. Proven expertise in system testing, UAT, and data migration, with a strong record of delivering defect-free releases, optimizing test execution processes, and ensuring seamless deployments in complex environments. Impact-focused contributors recognized for identifying and resolving critical defects, streamlining approvals, and accelerating execution timelines, resulting in improved application stability and business confidence. Strategic collaborator and cross-functional partner, adept at engaging with developers, SAP teams, vendors, and leadership to clarify requirements, resolve issues, and align testing workflows with business objectives. Technical proficiency in JIRA, SQL, AI tools and Agile methodologies, leveraging hands-on experience in script development, data flow verification, and role-based testing to ensure comprehensive coverage and compliance.
Annamalai University
MBA · Human Resource Management
January 1, 2021 – September 1, 2023
Sri Venkateswara College of Engineering
B.E · Electronics and Communication Engineering
August 1, 2016 – June 1, 2020
Accenture Chennai
Quality Engineering Analyst
January 1, 2021 – March 1, 2026
Chennai, Tamil Nadu, India
HR Impact of Work Life Balance of Employees on their Performance with reference to SIFY Technologies Limited, Chennai.
Unknown
June 1, 2022 – Present
Raspberry Pi based Smart Navigation System for Blind People
Unknown
October 1, 2020 – Present
Cultural Fit Analysis
The candidate's experience across diverse projects (MEDISPEND, GDO Workbench, IMIDS & CELMODS, POLARIS, EMES, CTMS & IMPACT) within a large organization like Accenture demonstrates adaptability and exposure to various business domains and technical challenges. Their proactive approach to identifying and resolving defects, streamlining approvals, and collaborating with multiple stakeholders aligns well with a results-oriented and collaborative work culture. The breadth of their experience, from manual testing to basic automation and data validation, suggests a willingness to engage with different aspects of QA. The MBA in HR, while not directly related to the target role, indicates a broader interest in organizational dynamics and potentially strong soft skills.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working effectively with developers, SAP teams, vendors, and leadership. They show initiative in problem-solving, defect identification, and streamlining processes. The ability to manage projects as a sole resource (MEDISPEND) indicates strong ownership and self-sufficiency. Their experience in an AI-driven testing environment (GDO Workbench) suggests adaptability to new tools and methodologies. The candidate's MBA in Human Resource Management, while not directly technical, could indicate strong organizational and interpersonal skills beneficial for team coordination and project management.