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Data Analyst with less than a year in data collection, cleaning, analysis, and visualization.
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 and detail-oriented Data Analyst with hands-on experience in data collection, cleaning, analysis, and visualization. Proficient in Python, SQL, MS Excel, and Tableau/Power BI. Adept at transforming complex datasets into actionable insights that support data-driven decision-making. Passionate about leveraging Machine Learning and Statistical methods to solve real-world business problems.
Rathinam College of arts and science
Master of Science · Data Science and Business Analysis
N/A – June 30, 2025
The American College
Bachelor of Science · Mathematics
N/A – June 30, 2023
Lane Line Detection Using OpenCV
June 23, 2026 – Present
Engineered a real-time computer vision pipeline to detect highway lane boundaries using Canny Edge Detection, Hough Transform algorithms and Convolutional Neural Network. Optimized image preprocessing by implementing Gaussian blurring and Region of Interest masking. Developed a robust mathematical model using linear regression to interpolate lane lines.
Credit Risk Analysis - Prediction
June 23, 2026 – Present
Developed an end-to-end machine learning pipeline to predict borrower default risk, achieving a 94.5% classification accuracy. Evaluated multiple algorithms Logistic Regression, Random Forest, XGBoost optimized the final resulting in a 15% improvement in F1-Score over baseline models. Integrated SHAP to identify top predictors of default Debt-to-Income Ratio, Payment History, providing transparent reason codes for credit decisions.
Python Professional Certificate
EduPrep
January 1, 2026 – Present
Oracle Cloud Infrastructure
Oracle University
January 1, 2023 – Present
Junior Grade English Typewriting
Gov. of TN Department of Tech. Ed
January 1, 2017 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a problem-solving mindset and an interest in diverse applications of data science (credit risk, computer vision). The coursework in Database Management, Statistics, Machine Learning, and Cloud Computing aligns well with a data-centric role. However, the lack of professional experience or diverse project types beyond academic settings limits the assessment of broader cultural fit and adaptability in a corporate environment.
Soft Skills & Operational Fit
The candidate's professional summary highlights motivation, detail-orientation, and a passion for data-driven decision-making, which are positive indicators for operational fit. However, without completed psychometric or English tests, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.