Iβm a data scientist, machine learning enthusiast, and AgriTech innovator on a mission to uplift underserved rural communities through the power of technology, research, and policy. Having grown up on a small farm in rural Nigeria, I witnessed the harsh realities of recurring floods, limited access to financial resources, and inadequate infrastructure. These experiences ignited my passion for creating sustainable solutions. Despite financial challenges, I pursued my education with unwavering determination, obtained a Diploma in Civil Engineering, a Bachelorβs degree in Banking and Finance, and I am currently advancing my knowledge with an MSc in Data Science at the University of Roehampton in London.
My journey from rural struggles to the forefront of data science reflects my dedication to leveraging innovation for social good. My portfolio showcases a range of machine learning and analytics projects, including an AI-driven waste classification system, a predictive dashboard for student performance, HR analytics tools, and regression model toolkits, each designed to address real-world challenges. In addition to my technical work, I lead field research initiatives that connect rural communities with academic institutions.
A key achievement was establishing a formal research partnership with CEPODRA Civil Association in Peru, where we co-develop data systems to support local farmers and enhance disaster resilience. My published research explores topics such as mechanized agriculture and AI-based pest control solutions. Driven by a commitment to rural inclusion, ethical technology, and grassroots research collaboration, I am dedicated to building systems that empower communities and drive meaningful change.
An interactive Streamlit dashboard for predicting student performance based on lifestyle patterns and behavioral metrics using machine learning. Explore academic trends, evaluate models, and simulate outcomes dynamically.
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