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🎓 BS AI @ Air University | Building ML projects in public
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🎓 BS AI @ Air University | Building ML projects in public
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mabdulrafay7zip/README.md

Muhammad Abdul Rafay — Machine Learning Intern

LinkedIn Email Islamabad, Pakistan

🙋‍♂️ About Me

👋 Assalam-o-Alaikum, I'm Rafay!

🎓 BS Artificial Intelligence @ Air University, Islamabad
💼 Machine Learning & AI Intern — building end-to-end ML projects
🌍 On a mission: global remote AI/ML internships
🔭 Currently deepening: Deep Learning (PyTorch) & NLP
💬 Ask me about: Recommendation Systems, scikit-learn pipelines, end-to-end ML
📫 mabdulrafay1134@gmail.com

🏆 Highlights

🥇 97.5% — Digit Recognition (SVM)
🎬 91.9% — Netflix Type Prediction
💳 75% · F1 0.83 — Credit Scoring
📦 7 end-to-end ML projects
🎓 3 internships completed

ML Projects Internships Best Accuracy Datasets

🛠️ Skills & Tools

Python scikit-learn NumPy Pandas Matplotlib Seaborn Git GitHub

ML: Classification • Regression • Clustering (K-Means) • Recommendation Systems • Model Evaluation • Feature Engineering • Data Preprocessing

📌 Featured Projects

Project What it does 🏆 Best Result
🎬 Netflix ML Projects Recommendation system, content-type prediction, rating classification & K-Means segmentation on 8,790 Netflix titles — ▶ Live Demo 91.9% accuracy
💳 Credit Scoring Model Credit-risk prediction on German Credit data (1,000 applicants) 75% acc • F1 0.83
🩺 Disease Prediction Diabetes prediction from Pima health data (768 patients) 74% accuracy
✍️ Handwritten Digit Recognition Handwritten digit recognition (1,797 images) — SVM vs MLP vs Logistic Regression 97.5% accuracy
🎮 Tetris Game — C++ Classic Tetris in the terminal — 7 tetrominoes, rotation, line clears, score & levels Playable 🎮
🌐 Personal Portfolio Website Animated personal portfolio — typing hero, scroll reveals, project showcase Live site

📊 GitHub Stats

GitHub Stats GitHub Streak

Top Languages

🐍 Contribution Snake

Snake animation

⚡ Beyond Code

AI neural network animation

Dream: building AI that matters — one model at a time.

"Theory is not enough — you understand ML only when you build."
⭐ Explore my repositories and let's connect on LinkedIn!

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  1. Netflix_ML_Projects Netflix_ML_Projects Public

    🎬 Netflix ML: recommendation system, content-type prediction (91.9% accuracy), rating classification & K-Means clustering on 8,790 titles

    Python

  2. CreditScoringModel CreditScoringModel Public

    💳 Credit-risk prediction with Random Forest on German Credit data (1,000 applicants) — 75% accuracy, F1 0.83

    Python

  3. HandwrittenCharacterRecognition HandwrittenCharacterRecognition Public

    ✍️ Handwritten digit recognition — SVM vs MLP vs Logistic Regression on 1,797 images — 97.5% accuracy

    Python

  4. DiseasePrediction DiseasePrediction Public

    🩺 Diabetes prediction with Random Forest & SVM on Pima health data (768 patients) — 74% accuracy

    Python

  5. Netflix-Recommender-Live-Demo Netflix-Recommender-Live-Demo Public

    🎬 Live Netflix Recommendation System — TF-IDF + Cosine Similarity on 8,790 titles | Streamlit + GitHub Pages

    HTML

  6. tetris-game tetris-game Public

    🎮 Classic Tetris in C++ — terminal game: 7 tetrominoes, rotation, line clears, score & levels, next-piece preview

    C++ 1