- 👋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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Alke-Club
Alke-Club PublicA full-stack Django web application for handling user feedback and contact form submissions.
Python
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Loyalty-Program-Fraud-Detection-System
Loyalty-Program-Fraud-Detection-System PublicThis 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
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Language-Translation-ML-project-Docker
Language-Translation-ML-project-Docker PublicDeploying Models as Docker images pushing LM
Jupyter Notebook
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mlflow-recommendation-engine
mlflow-recommendation-engine PublicMulti-algorithm recommendation engine with comprehensive MLflow experiment tracking. Implements popularity, content-based, collaborative filtering & hybrid approaches. Achieved 98% precision/recall…
Jupyter Notebook 1
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Fraud-Detection-in-Unlabeled-Transaction-Data
Fraud-Detection-in-Unlabeled-Transaction-Data PublicEngineered 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
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SNPD-CONFERRENCE-PAPER
SNPD-CONFERRENCE-PAPER PublicThis paper encapsulates my underagraduate research on the efficiacy of quantum algorithms in preventing fraud
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