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Data Science with less than a year in Python & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science Intern with practical experience in Python, data analysis, machine learning, data visualization, and exploratory data analysis (EDA). Competent in converting raw data into usable insights and creating data-driven solutions. Enthusiastic about addressing problems, continual learning, and utilizing analytical abilities for real-world business challenges.
APJ Abdul Kalam Technological University
Master of Computer Application
August 1, 2023 – June 30, 2025
University of Calicut
Bachelor of Computer Application
August 1, 2020 – June 30, 2023
Luminar Technolab
Data Science
February 1, 2026 – June 1, 2026
Thrissur, Kerala, India
CLEAR-GOV
June 18, 2026 – Present
Bridging Trust through Transparency • Developed an extensive online transparency platform with the MERN stack (MongoDB, Express.js, React, Node.js) to improve public insight into government initiatives. • Combined real-time financial monitoring, location-driven analysis, and engaging data visualization to enhance accountability. • Established role-specific access for citizens, contractors, and governmental bodies, enhancing workflows and minimizing corruption.
VOTER'S RECOGNITION USING COMPUTER VISION
June 18, 2026 – Present
Secure EVM System Using Computer Vision • A CNN-based facial recognition model was developed to confirm voter identify and ensure election integrity. • Developed a prototype that gathers and verifies voter IDs against pre stored database records before ballot access. • System security and dependability are enhanced by integrating AI-driven validation into the voting process.
Python for Beginners
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects, 'CLEAR-GOV' and 'VOTER'S RECOGNITION', indicate an interest in applying technology for social impact and public good, which could align with organizations valuing ethical AI and civic tech. The diversity in project technologies (MERN stack vs. Computer Vision) suggests adaptability and a willingness to explore different domains. However, the limited professional experience and lack of team-based project descriptions make it difficult to fully assess cultural fit beyond technical curiosity and social awareness.
Soft Skills & Operational Fit
The candidate lists 'Quick Learner' and 'Team Work' as soft skills. Project descriptions suggest an ability to work on diverse technical stacks (MERN, CNN-based models). However, without psychometric test results or interview data, a comprehensive assessment of operational fit and other soft skills like stress handling or collaboration is not possible.