Data Science Internship - Developers Hub

Welcome to my internship project repository! This repository contains my work as a Data Science Intern at Developers Hub. I have focused on building clean, efficient, and well-documented solutions for real-world datasets.

🚀 Completed Tasks

Task 1: Iris Data Exploration

• Objective: Perform Exploratory Data Analysis (EDA) on the Iris dataset.
• Key Skills: Data visualization, Matplotlib, Seaborn, Pandas.
• Insight: Successfully identified species clustering through petal and sepal measurements.

Task 2: Credit Risk Prediction

• Objective: Build a classification model to predict loan approval.
• Algorithm: Logistic Regression.
• Deliverables: Trained .pkl model and evaluation notebook.

Task 3: Customer Churn Prediction

• Objective: Identify customers likely to leave the bank.
• Algorithm: Random Forest Classifier.
• Key Skills: Categorical encoding, Feature Importance analysis.
• Deliverables: Trained .pkl model and evaluation notebook.

Task 4: Medical Insurance Claim Prediction

• Objective: Estimate medical insurance claim amounts based on personal data.
• Algorithm: Linear Regression.
• Key Skills: Regression modeling, Feature correlation, and Error evaluation (MAE/RMSE).
• Deliverables: Trained .pkl model and visualization notebook.

Task 5: Personal Loan Acceptance Prediction

• Objective: Predict which customers are likely to accept a personal loan offer.
• Algorithm: Decision Tree Classifier.
• Key Skills: Data exploration, Classification modeling, and Business insight extraction.
• Deliverables: Trained .pkl model and evaluation notebook.

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Author: Shehroz Ghouri
Tools: Python, Jupyter Notebook, Scikit-Learn
Date: April 27, 2026