David Olukolatimi
Data Scientist & Machine Learning Engineer
Building production machine learning, AI, and data systems that move from experimentation into practical business use.
I help turn complex data into useful systems and clear insights that support better decisions. My work spans data science, machine learning engineering, and AI systems across insurance, education technology, and client projects. I have worked on everything from large scale data processing and model development to APIs, deployment, monitoring, and business automation.
My focus is practical. I like taking a problem from raw data and experimentation through to something people can actually use. That has included healthcare service standardisation, vehicle valuation, recommendation systems, AI evaluation pipelines, analytics workflows, and client machine learning solutions.
I also enjoy writing, research, mentoring, and community learning. I share ideas through technical articles, open source projects, published research, and professional communities. I care about making difficult ideas easier to understand and building with people who value curiosity, clarity, and useful work.
Quick Highlights
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Production ML & MLOps
Designed and deployed machine learning services using FastAPI, Docker, Kubernetes, GCP, CI/CD, monitoring, and production workflows. My work includes turning models into reliable services that support live business processes.
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AI Applications & Automation
Built applied AI systems across healthcare, pricing, recommendations, and automated evaluation, including a healthcare matching pipeline that processed approximately 8 million legacy service records during a claims platform migration.
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Data Engineering
Built Python and SQL ETL workflows that move, transform, and prepare production data for analytics and machine learning, including pipelines supporting more than 20 operational dashboards.
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Community & Collaboration
Co-led the AXA Data Science Community and taught practical data science skills to more than 40 employees. I have also contributed to Data Science Nigeria learning initiatives and technical communities.
Featured Work
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Professional ML and Data System
Healthcare Service Standardisation
Built a large scale matching pipeline that mapped approximately 8 million legacy healthcare tariff records to about 300,000 standardised services using cosine similarity, fuzzy matching, and batched processing.
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Published Research
CNN Hyperparameter Optimisation for Pneumonia Detection
Co-authored peer-reviewed research on how hyperparameter interactions affect CNN performance for pneumonia detection from chest X-rays.
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Machine Learning Competition
Expresso Customer Churn Prediction
Placed second in the Data Science Nigeria Expresso Churn Prediction Challenge using feature engineering, CatBoost, XGBoost, cross validation, and model blending.
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Recommendations
David is an efficient business transformation professional with a sound knowledge of data science. He is always willing to transfer knowledge in any way possible. I've seen him guide and train a team of staff within the AXA Mansard data science community.
David is an astute data scientist who knows how to identify problems and use data to recommend solutions for effective decision making. We co-led the AXA Data Science Community, where he taught more than 40 employees diverse data science skills. He simplifies difficult concepts and always goes above and beyond to assist others. Working with David was a delight and I highly recommend him to any organisation.
