🔭 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!
- Toronto, Ontario
-
02:21
(UTC -12:00) - in/fitsumblb
- https://neon-project-orbit.lovable.app/
Highlights
- Pro
Pinned Loading
-
wine-ml-pipeline
wine-ml-pipeline PublicA 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
-
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
-
PhishGuardAI
PhishGuardAI PublicModern, explainable phishing URL detection with FastAPI, policy bands, and LLM-based review. Fast, auditable, and easy to run locally or in Docker.
Jupyter Notebook 1
-
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.
-
PowerCo-Custumer-Churn
PowerCo-Custumer-Churn PublicA data-driven predictive model to identify SME customers at risk of churning, enabling targeted retention strategies for PowerCo.
Jupyter Notebook 1
-
SmartMobility-POI-Insights
SmartMobility-POI-Insights PublicThis 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
If the problem persists, check the GitHub status page or contact support.

