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  • Joined Feb 26, 2026

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Raja-ML-22/README.md

Hi, I'm Raja 👋

AI & ML student passionate about building real-world machine learning systems and ML APIs.

Currently focused on Machine Learning Engineering, model deployment, and ML pipelines.

🚀 Projects

Movie Recommendation System

Content-based recommendation system using TF-IDF and cosine similarity.

  • Built using Python, Pandas, Scikit-learn, FastAPI
  • Deployed as a live ML API

Repo: https://github.com/Raja-ML-22/movie-recommendation-system

Live API Docs: https://movie-recommendation-system-4ab4.onrender.com/docs

Cost Optimized Churn Prediction System

Machine learning pipeline for predicting customer churn with cost-sensitive threshold optimization.

Repo: https://github.com/Raja-ML-22/cost-optimized-churn-ml-system

Credit Card Fraud Detection System

Imbalanced classification problem solved using Logistic Regression and Random Forest models.

Repo: https://github.com/Raja-ML-22/credit-card-fraud-detection

🧠 Skills

Python • NumPy • Pandas • Machine Learning • Scikit-learn • FastAPI • ML Pipelines • Git • Model Deployment

🎯 Current Goal

Seeking Machine Learning Internship opportunities where I can build and deploy real-world ML systems. Open to remote or on-site internships.

Raja's GitHub stats

📫 Contact

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  1. cost-optimized-churn-ml-system cost-optimized-churn-ml-system Public

    Cost-sensitive customer churn prediction system with threshold optimization and reproducible ML pipeline.

    Python

  2. credit-card-fraud-detection credit-card-fraud-detection Public

    Cost-sensitive machine learning approach for fraud detection using Logistic Regression and Random Forest.

    Jupyter Notebook

  3. movie-recommendation-system movie-recommendation-system Public

    Content-based Movie Recommendation System using TF-IDF and FastAPI deployed on Render.

    Python