I’m a researcher and data scientist at the intersection of artificial intelligence, algorithmic fairness, and financial technology. I hold an MSc in Financial Technology with Distinction from Teesside University and am a published IEEE researcher focused on AI-powered educational assessment systems. As Founder of DataIntell and Co-Founder of Responsible Tech, a technology governance platform, I lead initiatives that bridge cutting-edge AI research with real-world social impact.

My research has driven measurable real-world impact. I’ve discovered and mitigated algorithmic bias in Nigeria’s social welfare AI system and developed novel AI feedback systems for healthcare education assessment. With expertise in fairness-by-design principles and real-time bias detection, I specialize in creating transparent, accountable AI systems that eliminate discrimination while providing fair evaluations in educational and financial contexts.

With over 6 years of experience in business analysis and data-driven decision making across FinTech, and EdTech sectors, my core expertise includes machine learning, natural language processing, algorithmic fairness, and statistical analysis using Python and TensorFlow.

I disseminate research insights through my weekly AI Innovation Newsletter at newsletter.dataintell.co.uk and am open to collaborations in AI fairness research, educational technology innovation, and responsible AI deployment.