I studied Agriculture.
I fell in love with data.
I graduated from the Federal University of Technology, Minna with a B.Tech in Agriculture. I spent years working in the field tracking crop yields, recording seasonal data, managing input costs, and coordinating farm operations. That experience taught me something most data courses cannot: how to think about problems before opening a spreadsheet.
Somewhere between the field surveys and the seasonal planning records, I got hooked on the analytical side. What do the numbers actually say? What patterns are hiding in this dataset? What decision does this data support? Those questions became the thing I kept coming back to.
That curiosity led me to data analytics. I completed an intensive program at Quantum Analytics NG, one of Nigeria's leading data training firms, where I worked on real-world datasets, built Power BI dashboards that replaced hours of manual reporting, wrote SQL queries across multiple tables, and developed the kind of analytical instincts that only come from doing the actual work.
My agriculture background is not a detour from data analytics. It is my edge. Most analysts are generalists. I bring domain knowledge to projects in food systems, agri-tech, land use, supply chains, and resource management that most analysts simply cannot offer. I understand the context behind the numbers, not just the numbers themselves.
Problem-First Thinking
I start every project by understanding what the business actually needs to know, not just what data is available.
Domain Knowledge
Seven years in agriculture means I understand agri-tech data, food systems, and supply chain context at a level most analysts do not.
Visual Communication
Data findings presented in clear dashboards and reports that non-technical stakeholders can read and act on immediately.
Detail Orientation
Every cell, every formula, every number checked. I do not deliver analysis I have not personally verified.