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A-Ighalo/README.md
  • 👋Hi, I’m @A-Ighalo
  • ✨I’m interested in Software Engineering, Data Engineering
  • 🌱Currently building and chasing curiosity in AI and software engineering researching and building Fair and Equitable Recommender and Anomaly Detection systems using Machine Learning
  • 💞️I’m looking to collaborate on open source projects, hackathons and Design discussions
  • 📫How to reach me 📱 +1 705 206 8142(Canada) or @ abrahamighalo2022@gmail.com
  • ☁️Check out my generative AI apps on PartyRock https://partyrock.aws/apps

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  1. Alke-Club Alke-Club Public

    A full-stack Django web application for handling user feedback and contact form submissions.

    Python

  2. Loyalty-Program-Fraud-Detection-System Loyalty-Program-Fraud-Detection-System Public

    This project implements both supervised and unsupervised machine learning approaches to detect anomalous patterns in credit card transactions that could indicate loyalty program abuse. The system i…

    Jupyter Notebook

  3. Language-Translation-ML-project-Docker Language-Translation-ML-project-Docker Public

    Deploying Models as Docker images pushing LM

    Jupyter Notebook

  4. mlflow-recommendation-engine mlflow-recommendation-engine Public

    Multi-algorithm recommendation engine with comprehensive MLflow experiment tracking. Implements popularity, content-based, collaborative filtering & hybrid approaches. Achieved 98% precision/recall…

    Jupyter Notebook 1

  5. Fraud-Detection-in-Unlabeled-Transaction-Data Fraud-Detection-in-Unlabeled-Transaction-Data Public

    Engineered a scalable unsupervised ML framework comparing four algorithms (Isolation Forest, One-Class SVM, LOF, DBSCAN) for fraud detection in unlabeled financial data. Applied rigorous feature en…

    Jupyter Notebook

  6. SNPD-CONFERRENCE-PAPER SNPD-CONFERRENCE-PAPER Public

    This paper encapsulates my underagraduate research on the efficiacy of quantum algorithms in preventing fraud