Welcome to my data science portfolio! This repository is a growing collection of end-to-end projects that demonstrate my ability to transform raw data into actionable business insights through applied machine learning, exploratory data analysis, and hypothesis-driven problem solving.
Click on any project title to view the full case study, codebase, and business recommendations.
| Project | Description | Key Skills & Tools |
|---|---|---|
| Hypothesis-Driven Analysis of Telecom Customer Churn | Diagnosed machine learning model underperformance in predicting Indian telecom churn using a rigorous, hypothesis-driven framework. | Python, Pandas, Scikit-Learn, Random Forest, EDA |
| (More projects coming soon...) |
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Programming Languages: Python, SQL
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Data Manipulation & Analysis: Pandas, NumPy
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Machine Learning: Scikit-Learn (Classification, Regression, Ensemble Methods)
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Data Visualization: Matplotlib, Seaborn
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Core Competencies: Predictive Modeling, Hypothesis Testing, Feature Engineering, Business Storytelling
If you're a recruiter, hiring manager, or fellow data enthusiast, I'd love to chat about data and upcoming opportunities!
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LinkedIn: https://www.linkedin.com/in/usaid7/
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Email: hiusaidk@gmail.com
Note: Each project folder contains its own detailed README with methodologies, key findings, and instructions on how to run the notebooks locally.