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Data Science with less than a year in Data Analysis & 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
B.Sc Computer Science graduate (CGPA: 9.1/10) proficient in Python, SQL, and Power BI, with hands-on experience in data cleaning, analysis, visualisation, and end-to-end ML pipeline development. Actively deepening expertise in Machine Learning and Deep Learning, with a strong foundation in core CS concepts and a keen interest in driving data-driven decision-making.
Bharath Institute of Higher Education and Research, Chennai
B.Sc. Computer Science · Computer Science
August 1, 2023 – June 30, 2026
Chinmaya Vidyalaya, Thiruvananthapuram | CBSE
Class XII
June 1, 2023 – May 31, 2023
Sree Narayana Vidyapeetam Public School, Ernakulam | CBSE
Class X
June 1, 2021 – May 31, 2021
VCodez
Data Science Internship
May 1, 2025 – August 31, 2025
Chennai, Tamil Nadu, India
Wheat Bread Nutritional & Pricing Analysis
January 1, 2026 – June 1, 2026
Designed a multi-page interactive Power BI dashboard comparing nutritional KPIs (protein, fibre, sodium, calories, Wheat-to-Maida ratio) and pricing across 10+ bread brands. Built 5+ chart types - clustered column, bar, area, combo, and dynamic slicers - enabling multi-dimensional comparative product analysis. Performed data modelling and transformation to clean and structure raw nutritional data for analysis-ready reporting, identifying the healthiest and most cost-effective brand.
AI-Based Stock Price Prediction System
January 1, 2026 – June 1, 2026
Developed a machine learning model to predict stock prices using historical market data, implementing data preprocessing and analysis with Python, Pandas, and NumPy. Built an interactive web application using Streamlit to visualize stock trends and display predicted prices, enabling users to explore market insights easily.
SmartLoan — AI Powered Loan Eligibility Prediction System
January 1, 2026 – June 1, 2026
Developed a multi-category loan eligibility prediction system using Random Forest Classifier trained on 200,000+ real loan records from the LendingClub dataset, achieving 91.49% accuracy and ROC-AUC of 0.9730. Built a Loan Optimizer that tests 288+ combinations of loan amount, interest rate and category to recommend the best loan profile for any applicant. Integrated real Indian bank comparison with actual 2025–26 interest rates across 10 banks (SBI, HDFC, ICICI, Axis, Kotak and others) for 8 loan categories. Implemented risk scoring engine that generates a 0-100 risk score with factor breakdown, what-if simulator and personalised improvement suggestion.
Introduction to Programming Using Python
HackerRank
January 1, 2026 – Present
Data Science Course
Besant Technologies
January 1, 2026 – Present
Introduction to Machine Learning
AWS Training & Certifications
January 1, 2025 – Present
Data Science Internship
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of data science skills, from nutritional analysis to financial prediction, indicating adaptability. The internship experience suggests an interest in structured learning and practical application. The target role of Data Science aligns well with the candidate's stated skills and project experience. However, the lack of professional experience beyond an internship limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver functional solutions. The academic projects demonstrate initiative and a problem-solving mindset. However, without direct interview data, it's difficult to assess communication, teamwork, and stress handling abilities.