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  • Bengaluru
  • 02:02 (UTC -12:00)
  • Joined May 2, 2026

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nithinreddyp2004/README.md

Hi there, I'm Nithin Reddy! 👋

🎓 Aspiring Data Scientist | 📍 Bengaluru, India

I'm passionate about turning data into actionable insights using Machine Learning and Python. Currently pursuing a Data Science course and actively building real-world ML projects.

🔧 Skills & Tools

Languages: Python SQL

Libraries & Frameworks: Pandas NumPy Scikit-learn Matplotlib Seaborn Streamlit

Other: Statistics Machine Learning OOPs

📂 Projects

📉 Customer Churn Prediction | 🚀 Live App

Predicts whether a customer will churn using Random Forest | 85% accuracy | Deployed with Streamlit

Python Pandas Scikit-learn Random Forest Streamlit

🩺 Diabetes Prediction | 🚀 Live App

Predicts diabetes risk from medical inputs using Logistic Regression | Deployed with Streamlit

Python Pandas Logistic Regression Streamlit PIMA Dataset

👔 Employee Attrition Intelligence | 🚀 Live App

Predicts whether an employee is likely to leave the company using Logistic Regression | Deployed with Streamlit

Python Pandas Scikit-learn Logistic Regression Streamlit

🛒 Retail Customer Segmentation | 🚀 Live App

Segments retail customers into groups using K-Means Clustering and RFM Analysis | Deployed with Streamlit

Python Pandas Scikit-learn K-Means RFM Analysis Streamlit

📊 GitHub Stats

Nithin's GitHub Stats

📫 Connect With Me

LinkedIn Gmail

⭐ Feel free to explore my repositories and leave a star if you find something useful!

Popular repositories Loading

  1. customer-churn-prediction customer-churn-prediction Public

    Customer churn prediction using machine learning and Streamlit dashboard

    Jupyter Notebook

  2. diabetes-prediction diabetes-prediction Public

    Diabetes prediction web app using Logistic Regression and Streamlit | ML project with PIMA dataset

    Jupyter Notebook

  3. nithinreddyp2004 nithinreddyp2004 Public

  4. employee-attrition-intelligence employee-attrition-intelligence Public

    Jupyter Notebook

  5. retail-customer-segmentation retail-customer-segmentation Public

    Jupyter Notebook