Work Experience
Data Scientist, Behavioral Risk Model Deployment
Duration: Mar 2022 - Present
Summary: Developed and deployed behavioral risk models for churn and fraud detection, enhanced prediction accuracies and reduced user loss.
Responsibilities: Designed and deployed behavioral risk models, developed scalable ML pipelines, conducted model validation and monitoring, collaborated with team for real-time model serving with integrated logging.
Technologies: Python, PyTorch, Docker, Airflow, Azure
Machine Learning Engineer, Churn Prediction and Recommendation Systems
Duration: Jan 2021 - Mar 2022
Summary: Built recommendation systems and churn prediction models, designed A/B testing for ML experiments, optimized FastAPI-based model endpoints.
Responsibilities: Built recommendation systems, designed and analyzed A/B tests for ML experiments, deployed and optimized model endpoints, automated training and evaluation workflows, managed Git version control, and communicated with stakeholders.
Technologies: Python, FastAPI, AWS, GCP, MLflow, GitLab CI/CD, dbt
Data Scientist, FairLens - AI Bias Detection & Correction Tool
Duration: Mar 2025 - Apr 2025
Summary: Designed and built an AI bias detection and correction tool to promote AI fairness in machine learning models.
Responsibilities: Developed an AI bias detection and correction tool, designed functionalities to detect biases and provide correction recommendations.
Technologies: Python, scikit-learn, Fairlearn
Data Scientist, Movie Recommendation System
Duration: Aug 2023 - Present
Summary: Developed a transformer-enhanced movie recommendation system that integrates sentiment analysis and multilingual support.
Responsibilities: Built a next-generation recommendation system, integrated sentiment analysis, and handled multilingual user reviews to fine-tune recommendations.
Technologies: Python, PyTorch, NLP, Recommendation Systems
Data Scientist, Farming Automation Decision System
Duration: Sep 2024 - Jan 2025
Summary: Built a decision tree-based farming automation system for resource allocation in low-resource environments.
Responsibilities: Built a decision tree-based system, optimized resource allocation decision-making for better agricultural outcomes.
Technologies: Data Analysis, Decision Trees
Education
- Deakin University
- Masters in Data Science
- Sep 2023 - Present
- University of Lagos
- Bachelor of Science in Computer Science
- Jan 2017 - Jan 2021
Certification
- IBM Certified Data Scientist
- Oct 2023
- IBM Data Science Professional Certificate
- Coursera
- May 2023
- Data Science Certificate
- ExploreAI
- Oct 2022