Skip to content
View fitsblb's full-sized avatar
๐ŸŽฏ
Focusing
๐ŸŽฏ
Focusing

Highlights

  • Pro

Block or report fitsblb

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
fitsblb/README.md

๐Ÿ’ซ About Me:

๐Ÿ”ญ Iโ€™m looking to collaborate on Projects that combine machine learning with real-world impact โ€” especially around security, compliance, or customer experience.
๐Ÿซฑ Iโ€™m looking for help with Streamlining Docker workflows and learning CI/CD best practices for ML projects.
๐ŸŒฑ Iโ€™m currently learning MLOps tools like MLflow and Docker โ€” and how to structure ML projects for clean deployment and real-world use.
๐Ÿ’ฌ Ask me about Building fraud detection systems with NLP, BERT-based classifiers, or organizing ML repos for clarity and scalability
โšก Fun fact: My fraud detection model once flagged refund abuse at a local supermarket โ€” and helped change how refunds were reviewed!

๐ŸŒ Socials:

LinkedIn email

๐Ÿ’ป 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

๐Ÿ“Š GitHub Stats:



๐Ÿ” Top Contributed Repo


Pinned Loading

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

    A production-ready ML pipeline for predicting wine quality. Itโ€™s fully config-driven, tested, and reproducible end-to-end: ingestion โ†’ validation โ†’ transformation โ†’ training โ†’ evaluation โ†’ diagnostโ€ฆ

    Jupyter Notebook 1

  2. Sentiment-Analyzer Sentiment-Analyzer Public

    ๐Ÿš€ 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 modโ€ฆ

    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

  4. PremierLeagueMatchPredictor PremierLeagueMatchPredictor Public

    โšฝ 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

  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 FourSquareโ€ฆ

    Jupyter Notebook 1