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fitsblb/README.md

💫 About Me:

🔭 I’m looking to collaborate on Projects that combine machine learning with real-world impact — especially around security, compliance, or customer experience.
🫱 I’m looking for help with Streamlining Docker workflows and learning CI/CD best practices for ML projects.
🌱 I’m currently learning MLOps tools like MLflow and Docker — and how to structure ML projects for clean deployment and real-world use.
💬 Ask me about Building fraud detection systems with NLP, BERT-based classifiers, or organizing ML repos for clarity and scalability
⚡ Fun fact: My fraud detection model once flagged refund abuse at a local supermarket — and helped change how refunds were reviewed!

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Azure AWS Google Cloud Anaconda Postgres Matplotlib Keras mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Actions Git GitHub Docker Grafana Postman Power Bi Prettier Notion MongoDB Python Markdown Windows Terminal

📊 GitHub Stats:



🔝 Top Contributed Repo


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  1. wine-ml-pipeline wine-ml-pipeline Public

    A production-ready ML pipeline for predicting wine quality. It’s fully config-driven, tested, and reproducible end-to-end: ingestion → validation → transformation → training → evaluation → diagnost…

    Jupyter Notebook 1

  2. Sentiment-Analyzer Sentiment-Analyzer Public

    🚀 Advanced Multi-Model Sentiment Analyzer - From research to production-ready AI system. Fine-tuned DistilBERT on Yelp dataset (78.5% accuracy), evolved into enterprise-grade platform with 4 AI mod…

    Jupyter Notebook 1

  3. PhishGuardAI PhishGuardAI Public

    Modern, explainable phishing URL detection with FastAPI, policy bands, and LLM-based review. Fast, auditable, and easy to run locally or in Docker.

    Jupyter Notebook 2

  4. PremierLeagueMatchPredictor PremierLeagueMatchPredictor Public

    ⚽ This project presents a robust machine learning pipeline for predicting English Premier League (EPL) match outcomes using historical data spanning the 2007 to 2024 seasons.

    Jupyter Notebook 1 1

  5. PowerCo-Custumer-Churn PowerCo-Custumer-Churn Public

    A data-driven predictive model to identify SME customers at risk of churning, enabling targeted retention strategies for PowerCo.

    Jupyter Notebook 1

  6. SmartMobility-POI-Insights SmartMobility-POI-Insights Public

    This project aims to analyze the relationship between bike station availability and Points of Interest (POIs) in a specific city. By integrating data from the CityBikes API, Yelp API and FourSquare…

    Jupyter Notebook 1