Samuel Ojeleke

Led the design and delivery of enterprise-grade data, AI, and automation solutions supporting upstream operations, governance, and executive decision-making. Architected an AI-driven HR email orchestration platform and delivered an end-to-end Azure DevOps reporting platform.

Conducted advanced research in machine learning and data science, developing high-performance models addressing real-world analytical and predictive challenges. Designed a simulation-driven intrusion detection framework for wireless sensor networks achieving ~99% detection accuracy.

Delivered data science and analytics solutions across multiple domains, combining predictive modelling, business intelligence, and data engineering. Built predictive analytics models for business optimisation and developed end-to-end data pipelines.

Led administrative data systems and introduced structured data processes to improve institutional planning and reporting. Digitised academic and administrative records, enabling structured data capture and improved reporting accuracy.

Oversaw institutional operations while introducing data-driven systems to improve academic delivery and organisational performance. Implemented data-informed academic performance tracking systems and integrated technology into administration and learning processes.

Pursuing a Master of Science in Computer Science with a focus on machine learning and data science.

Earned a Bachelor of Science in Computer Science, building a strong foundation in computing and software development.

Completed a Nigeria Certificate in Education with a focus on Computer Science and Mathematics.