University of Lagos Second Class Upper — B.Sc. Computer Science

Studied core computer science fundamentals including algorithms, data structures, databases, operating systems, computer networks, and software engineering.

Data Science & AI Programs

Complemented formal education with intensive learning through AI and data science bootcamps, MOOCs, and competitions. Focused on topics such as deep learning, NLP, computer vision, MLOps, cloud computing, and software engineering best practices.

Machine Learning Engineer / Data Engineer — AXA Mansard

Led the design and deployment of AI solutions that underpin underwriting, marketing and claims operations in the insurance domain.

• Developed an AI‑powered customer segmentation model for targeted marketing and outreach campaigns.
• Implemented a personalised recommendation system that increased conversion rates and improved customer engagement.
• Built and deployed a car valuation API using machine learning models to automate pricing and appraisal.
• Designed and delivered a fraud and anomaly detection system for health insurance claims, reducing false claims and improving operational efficiency.
• Worked closely with cross‑functional teams to integrate models into business workflows and monitor performance in production.

ML Engineer / AI Pipeline Engineer — ExamRocket

Contributed to a learning and assessment product by building robust AI pipelines for speech and written response evaluation.

• Improved inference throughput and reduced latency for speech-to-text and scoring pipelines by optimising model architectures and serving patterns.
• Helped design scoring logic and evaluation pipelines that combined ML models with rule-based components for reliability.
• Collaborated closely with product and engineering teams to define metrics, track performance, and iterate on model improvements.

Freelance ML Engineer — Fiverr

Worked remotely with clients to deliver machine learning solutions across agriculture, audio processing and finance.

• Developed a CNN‑based plant disease detection model for automated crop monitoring.
• Built an audio emotion recognition system using deep learning to analyse voice sentiment.
• Designed an LSTM‑based time series forecasting pipeline for stock price prediction.
• Collaborated with diverse clients to translate business requirements into production‑ready ML models.

Data Science Intern — Hamoye

Part of a remote internship program focusing on data science and machine learning projects.

• Designed ML pipelines for predictive modelling and workflow automation.
• Built NLP classification models using transformer architectures for text classification tasks.
• Performed exploratory data analysis and feature engineering to drive business insights.
• Collaborated in cross‑functional teams, presenting findings and iterating on models based on feedback.

Data Scientist & Community Contributor

Participated in multiple data science competitions and AI communities, experimenting with real-world datasets and sharing learnings with peers.

• Worked on problems in customer churn prediction, insurance recommendation, cryptocurrency price prediction, and more.
• Contributed to discussion forums, explaining modelling choices, feature engineering strategies, and deployment challenges.
• Built and open-sourced reference implementations and exploratory notebooks on GitHub.