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Data Science with 2+ years in Machine Learning & Data Visualization
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Results-driven and detail-oriented MSc Physics graduate with expertise in machine learning, predictive analytics, and data visualization. Strong experience in building end-to-end data science solutions including data preprocessing, exploratory analysis, model development, and deployment using Flask. Skilled at transforming complex datasets into actionable insights to support business decisions.
Kannur University
Master of Science · Physics
N/A – June 30, 2023
Kannur University
Bachelor of Science · Physics
N/A – June 30, 2021
ICT Academy of Kerala
Data Analyst Intern
January 1, 2024 – Present
India
Credit Risk Prediction System (Machine Learning)
June 1, 2025 – June 1, 2026
Developed classification models to predict creditworthiness using financial and demographic data. Performed data cleaning, missing value handling, outlier detection (IQR, Z-score), and feature scaling. Conducted EDA to identify relationships between income, employment, and credit score. Built and compared Logistic Regression, Decision Tree, and Random Forest models. Achieved high model performance using evaluation metrics like Accuracy, Precision, Recall, and F1-score.
Predictive Workforce Optimization (Flask & Machine Learning)
June 1, 2025 – June 1, 2026
Built machine learning models to predict employee attrition using HR analytics data. Applied Logistic Regression, Random Forest, and Gradient Boosting algorithms. Performed data preprocessing, feature engineering, and EDA. Evaluated models using Accuracy, Precision, Recall, F1-score, and ROC-AUC. Developed and deployed a Flask web application for real-time predictions.
Sales Performance Dashboard (Tableau & SQL)
June 1, 2025 – June 1, 2026
Created KPI dashboards to track sales performance and business metrics. Optimized SQL queries and automated data pipelines, improving reporting efficiency by 50%.
Certification in Data Science and Analytics
ICT Academy
January 1, 2024 – Present
Google Data Analytics
Coursera
January 1, 2023 – January 1, 2026
Microsoft Power BI Data Analyst
Coursera
January 1, 2023 – January 1, 2026
Meta Data Analyst
Coursera
January 1, 2023 – January 1, 2026
Cultural Fit Analysis
The candidate's project diversity, including credit risk prediction, workforce optimization, and sales performance dashboards, indicates a broad interest in applying data science across different domains. The certifications from various reputable organizations (Google, Microsoft, Meta) and the internship at ICT Academy of Kerala suggest a proactive approach to learning and professional development. The target role of Data Science aligns well with the candidate's demonstrated skills and project experience in machine learning and data analysis. The academic background in Physics, while not directly in Computer Science, often indicates strong analytical and problem-solving abilities.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-driven and detail-oriented approach, with a focus on improving efficiency and supporting business decisions. The experience as a Data Analyst Intern suggests an ability to work with large datasets and contribute to reporting workflows. However, without psychometric test results, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.