Highly analytical postgraduate student in MSc Statistics with Data Science, leveraging a strong foundation in Mathematics and practical experience from multiple data science internships. Proficient in Python, R, SQL and Power BI, I excel at statistical modeling, machine learning and data visualization. Eager to apply robust problem-solving skills to transform complex datasets into actionable insights and drive data-informed decisions in a dynamic professional environment.
Data Science Intern
Remote, India
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Data Science and Analytics Intern
Remote, India
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Machine Learning Intern
Kolkata, West Bengal, India
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Python Developer Intern
Pune, Maharashtra, India
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Data Science Intern
Lucknow, Uttar Pradesh, India
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Data Science Intern
Mumbai, Maharashtra, India
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Artificial Intelligence Intern
Remote, India
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Summary
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MIS Intern
Thrissur, Kerala, India
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Summary
Analyzed Non-Performing Asset (NPA) accounts at ESAF Bank, leveraging regression techniques to identify key relationships and generate precise risk scores.
Highlights
Identified critical relationships and generated precise risk scores for Non-Performing Asset (NPA) accounts across the Dharwad cluster in Karnataka using advanced regression techniques.
Developed interactive visualizations, including bar charts and scatter plots, to represent risk patterns across 25+ branches and diverse account profiles, enabling targeted intervention strategies.
Machine Learning and Artificial Intelligence Intern
Trivandrum, Kerala, India
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Summary
Developed a machine learning model to predict stroke risk and visualized data insights to understand patterns and trends related to stroke risk factors.
Highlights
Engineered a machine learning model achieving 85% accuracy in predicting stroke risk using 10+ healthcare features, significantly aiding early identification of high-risk individuals.
Created over 5 informative charts and graphs using Matplotlib and Seaborn to visualize key data insights, enhancing understanding of stroke risk factors and trends.
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Post Graduation
Statistics with Data Science
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Graduation
Mathematics
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High Education
Biology Science
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High School
All
Python, R, SQL.
Statistical Modeling, Time Series Analysis, Data Analysis, Machine Learning.
Power BI.
Matplotlib, Seaborn.
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Summary
Developed a predictive model to identify high-risk individuals for stroke based on key health indicators including Age, Gender, Hypertension, Heart Disease, BMI, and Smoking Status, supported by detailed data visualizations.
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Summary
Conducted a comprehensive 100-year time series analysis of Mumbai rainfall data (1922–2021) using Python, focusing on Exploratory Data Analysis (EDA) and forecasting to support urban planning and climate forecasting applications.
