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QA Engineer with less than a year in AI/ML and skills in Manual 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
A passionate and dedicated fresher seeking a growth-oriented role. I aim to contribute effectively to organizational goals through my skills and a strong commitment to teamwork. I am eager to learn and grow within a dynamic professional setting.
Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology.
Bachelor of Technology · CSE (Artificial Intelligence and Machine Learning)
August 1, 2021 – June 30, 2025
Narayana Junior College.
Intermediate · MPC-BIEAP
June 1, 2019 – May 31, 2021
Good Shepherd E.M School.
SSC
June 1, 2018 – May 31, 2019
Detection of Phishing Website Using Machine Learning.
June 15, 2026 – Present
Detection of phishing websites using machine learning algorithms to identify harmful sites by analyzing features like URL structure, domain age, and HTTPS status. Models like Random Forest, SVM, or neural networks can help detect these threats accurately.
Cultural Fit Analysis
The candidate is a fresher with an academic background in AI/ML, which is not directly aligned with a traditional QA Engineer role. The single academic project demonstrates analytical skills but lacks diversity in software development or testing contexts. The stated skills are basic and do not indicate a broad range of experiences typically sought for cultural fit in a senior role. The candidate's profile suggests a willingness to learn and grow, which is a positive cultural attribute for an entry-level position.
Soft Skills & Operational Fit
The candidate's profile summary mentions a strong commitment to teamwork and eagerness to learn, which are positive indicators for soft skills. However, without specific examples or behavioral assessments, the operational fit for a senior QA role is limited due to lack of professional experience.