Ojonugwa Wada

Background

I grew up on a small farm in rural Nigeria, where I saw how flooding, limited infrastructure and financial exclusion could shape the opportunities available to individuals and communities. Those experiences influenced the kinds of problems I became interested in solving.

My route into data science was not a conventional one. It began with a Diploma in Civil Engineering, followed by a Bachelor's degree in Banking and Finance, and later a Master's degree in Data Science at the University of Roehampton in London. That combination of technical, financial and analytical training continues to shape how I approach research and innovation.

Research

Research is an important part of my work. My peer-reviewed study on extended-family welfare in post-COVID Nigeria was published in Development by Springer Nature. I have also worked on research covering agritech and mechanised farming, Artificial Intelligence and remote sensing for pest management, and data-driven approaches to understanding student performance.

More recently, my research has examined digital payment adoption across economies using Machine Learning and explainable AI. Across these areas, I am particularly interested in research that moves beyond analysis and helps inform practical decisions.

Applied innovation

Alongside research, I develop practical data and Machine Learning projects that allow me to test ideas through implementation. These include computer-vision work on waste classification and transformer-enhanced object detection, analysis of workforce pay and engagement, and predictive modelling for student outcomes.

These projects are presented as case studies rather than claims of production deployment. They show how I approach a problem, select appropriate methods, evaluate results and translate technical work into something understandable and useful.

Founder journey

This interest in connecting research, technology and practical problems also led me to establish AtlasMatch AI.

AtlasMatch AI is a cultural intelligence and connection platform being developed for African and diaspora communities. It is built around three practical questions: where can I go, who can I trust, and where do I belong?

As Founder and Product Lead, I lead the product vision, research, AI strategy and system architecture. The platform is currently under active development, with a focus on bringing fragmented information, trusted connections, cultural discovery and collaboration opportunities into a more coherent experience.

Current direction

My current work sits at the intersection of Artificial Intelligence, financial inclusion, rural systems and human-centred innovation.

I am continuing to develop AtlasMatch AI while expanding my research into how data and AI can support communities that are often poorly represented in conventional datasets and digital systems. This includes work connected to sustainable farming and resilience through a proposed collaboration with CEPODRA in the Peruvian Amazon, as well as field experience with the Nigerian Red Cross relating to disaster preparedness and access to public health.

The common thread across these areas is simple: I am interested in technology that responds to real problems, is grounded in evidence, and remains useful to the people it is intended to serve.