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QA Automation Engineer with 3+ years in manual and automation testing, transitioning to AI/Data Scie
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Experienced QA Lead Tester with over 3+ years of experience in manual testing and basic understanding of automation testing tools and processes. Having a proven record of ensuring software quality, identifying defects, and improving overall system performance. Recently, I have been expanding my expertise in Data Science, AI tools, and prompt engineering to apply data-driven insights effectively. With a strong analytical mindset and passion for emerging technologies I am now actively seeking to transition into a Data Science or AI Analyst role where I can leverage my QA background and analytical approach to drive meaningful results.
Manipal University, Jaipur
Master's in Computer Applications with Data Science Specialization · Computer Applications with Data Science Specialization
August 1, 2025 – Present
National Degree College, Bangalore
Bachelor's in Computer Applications · Computer Applications
August 1, 2019 – June 30, 2022
HCL Technologies
Lead Engineer
January 1, 2023 – Present
Hyderābād, Telangana, India
Anisan Soft Tech Solutions
QA Tester
January 1, 2022 – December 31, 2023
India
Machine Learning using Python – Loan Status Classification Project
Unknown
June 1, 2026 – Present
Amazon Web Services – Elastic File Store (EFS) Project
Unknown
June 1, 2026 – Present
Block Chain – E-Voting of Laptops Project
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different projects (App Health and Compatibility, Google Docs, Dosage App Calculator) and platforms (iOS, Android, Web) demonstrates adaptability and a broad exposure to various technical environments. Their collaboration with cross-functional teams and external app developers, along with mentoring junior testers, indicates a team-oriented approach. The pursuit of a Master's in Computer Applications with Data Science Specialization and certifications in Machine Learning, AWS, and Blockchain shows a proactive learning attitude and a desire to expand their skill set, which aligns with a culture of continuous improvement. However, the stated career transition goal towards Data Science/AI might indicate a short-term fit for a dedicated QA Automation role.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills, evidenced by their ability to engage directly with clients and stakeholders to clarify requirements and report issues. Their experience in mentoring a team of 2 testers at HCL Technologies indicates leadership potential and a collaborative mindset. The resume also highlights self-motivation and a proactive approach to professional growth, which are valuable for operational fit. However, the candidate's stated interest in transitioning to a Data Science or AI Analyst role, while having a QA background, suggests a potential misalignment with a pure QA Automation Engineer role, which might impact long-term operational fit if their primary interest is not in QA.