Titanic Survival Prediction
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Summary
Developed a machine learning classification model using logistic regression and decision trees to predict passenger survival, demonstrating an end-to-end data science workflow.
Highly motivated and detail-oriented aspiring Data Scientist with strong analytical, programming, and data handling skills. Eager to leverage hands-on experience in data analysis, visualization, and machine learning to contribute to real-world data projects and drive impactful insights within a forward-thinking organization that that values continuous learning and innovation.
Data Science Intern
Remote, N/A, India
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Summary
Contributed to real-world data science projects, applying analytical, visualization, and machine learning techniques to develop end-to-end data solutions.
Highlights
Executed end-to-end data science projects, applying advanced techniques in data analysis, visualization, and machine learning to solve real-world problems.
Gained hands-on proficiency with Python and key data science libraries including Pandas, NumPy, Matplotlib, and Scikit-learn, for data manipulation and model development.
Successfully completed tasks such as predictive modeling and data preprocessing, contributing to the development of robust data-driven solutions.
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B.Tech
Computer Science Engineering
Grade: 74.98%
Issued By
Ducat IT India Pvt. Ltd.
Issued By
Softpro India
Issued By
YBI Foundation
Issued By
Infosys Academic
Python, C Basics, VBA.
Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Tkinter.
Advanced Excel (Pivot Tables, VLOOKUP, HLOOKUP, Conditional Formatting), PowerBI.
Microsoft SQL Server Management Studio (SQL), MySQL.
Git, GitHub.
Problem-solving, Analytical Thinking, Communication, Interpersonal Skills, Adaptability, Time Management, Decision Making.
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Summary
Developed a machine learning classification model using logistic regression and decision trees to predict passenger survival, demonstrating an end-to-end data science workflow.
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Summary
Implemented regression models to forecast future sales based on historical trends, providing actionable business insights for strategic planning.
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Summary
Designed and implemented a supervised learning-based system to detect fraudulent credit card transactions, enhancing security and minimizing financial risk.
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Summary
Created an interactive Excel dashboard for an online shopping store to visualize key sales, revenue, and customer trends.
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Summary
Developed a machine learning model to predict diabetes risk based on health metrics, aiming to improve early detection accuracy.
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Summary
Constructed an interactive Power BI dashboard to visualize Amazon sales data, providing key metrics for product and revenue performance.