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Data Science with less than a year in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated MCA student with a strong foundation in Data Analytics, Python, SQL, and Machine Learning. Skilled in data preprocessing, visualization, and database management with hands-on academic project experience. Eager to apply analytical and problem-solving skills to real-world business challenges and continuously learn new technologies.
Vikrama Simhapuri University
Master of Computer Applications
August 1, 2024 – June 30, 2026
Vikrama Simhapuri University
Bachelor of Computer Applications · Data Science
August 1, 2020 – June 30, 2023
Ratnam Junior College
Intermediate
June 1, 2018 – May 31, 2020
St. Joseph's EMHS
SSC
June 1, 2017 – May 31, 2018
Loan Eligibility Prediction System
June 19, 2026 – Present
Developed a machine learning-based Loan Eligibility Prediction system to analyze applicant data such as income, loan amount, and credit history. Performed data preprocessing and handled missing values to improve data quality. Built predictive models to improve loan approval prediction accuracy. Used analytical techniques to evaluate customer eligibility efficiently.
Python for Data Science
Unknown
June 1, 2026 – Present
SQL Basics
Unknown
June 1, 2026 – Present
Tableau Fundamentals
Unknown
June 1, 2026 – Present
Achieved 94% on the Data Scientist — Artificial Intelligence test, indicating a strong grasp of the subject matter and high proficiency in relevant skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic project and certifications show a focused interest in Data Science, aligning with the target role. The project diversity is limited to one academic project, and the breadth of skills, while relevant, is not extensively demonstrated beyond foundational knowledge. The candidate is currently pursuing a Master's, indicating a commitment to continuous learning. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's self-identified strengths include Quick Learner, Analytical Thinking, Team Collaboration, Adaptability, and Strong Communication Skills. The psychometric test score of 290/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit. The English test score of 74/100 indicates generally good communication clarity.