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Entry-level QA Engineer with strong analytical and AI/ML fundamentals.
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 Computer Science graduate with strong analytical thinking and problem solving skills. Familiar with software testing concepts, data handling, AI/ML fundamentals. Skilled in executing tasks accurately, identifying issues, and maintaining quality standards. Quick learner with strong communication skills and the ability to work effectively in fast-paced team environments.
Kingston Engineering College
Bachelor of Engineering · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Government Girls Higher Secondary School
12TH
June 1, 2020 – May 31, 2021
Sri Venkateswara Matriculation School
10TH
June 1, 2018 – May 31, 2019
Character Recognition System using Machine Learning
June 18, 2026 – Present
Worked on data preprocessing, testing outputs, and improving prediction accuracy for character recognition.
House Price Prediction using Machine Learning
June 18, 2026 – Present
Analyzed datasets and validated prediction results using machine learning techniques.
Certified Social Media Associate
PMKVY (NSQF Level 3)
June 1, 2026 – Present
Foundation for AI, ML & Full Stack
Edunet Tech CSR / Naan Mudhalvan
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects in Machine Learning show an interest in diverse technical areas. The certifications in AI/ML and Social Media indicate a willingness to learn and broaden skills. However, the lack of professional experience and limited project diversity outside of academic ML makes it challenging to fully assess cultural fit for a senior QA role. The target role is QA Engineer, and the candidate's skills align with entry-level QA rather than senior-level expectations.
Soft Skills & Operational Fit
The candidate demonstrates good verbal and written communication skills, ability to follow SOPs, and team collaboration, which are positive indicators for operational fit. The psychometric test score is 0, which makes it difficult to assess logical reasoning, work attitude, stress handling, and team collaboration objectively.