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Lead Quality Analyst with 10+ years in Test Strategy & Automation Frameworks
ISTQB Certified QA Leader with 9+ years of experience in defining and delivering enterprise-scale test strategy, quality engineering practices, and automation frameworks across web, mobile, API, data, and cloud platforms. Proven expertise in leading cross-functional teams, driving QA transformation, and implementing scalable solutions within Agile and DevOps environments. Strong stakeholder management skills with a consistent track record of delivering high-quality, risk-mitigated releases aligned with business objectives. Experienced in leveraging AI-driven testing approaches to enhance test design, optimize automation efficiency, and improve defect prediction and quality outcomes, with a strong focus on shift-left testing practices to ensure early defect detection and faster delivery.
MAKAUT (WBUT)
Bachelor of Technology (B.Tech.) · Electronics and Communication Engineering
August 1, 2012 – June 30, 2016
PwC India
Principal Consultant – QA Lead
July 1, 2024 – Present
India
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Cultural Fit Analysis
The candidate's extensive experience across various aspects of QA, from manual to automation, performance, and accessibility testing, demonstrates a broad and adaptable skill set. Their progression within PwC India from Consultant to Principal Consultant – QA Lead indicates a strong commitment and ability to grow within an organization. The diverse range of tools and technologies mentioned (Selenium, Playwright, JMeter, k6, Azure DevOps, Jenkins, Postman, AI tools) suggests a willingness to learn and adapt to different project requirements. The focus on enterprise-level programs and QA transformation initiatives aligns with a proactive and impactful cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and stakeholder management skills, which are critical for a Lead Quality Analyst role. Their experience in leading cross-functional teams, mentoring, and driving QA transformation initiatives indicates excellent operational fit. The focus on process improvements, risk management, and aligning quality goals with business objectives aligns well with senior-level responsibilities. The candidate's ability to integrate QA into DevOps pipelines and leverage AI tools suggests adaptability and a proactive approach to modern quality engineering practices.