About Me

I am an Applied Data Scientist, Statistician, and Analytics Consultant based in Nigeria, focused on transforming data into actionable business, operational, and research insights. My work sits at the intersection of statistics, machine learning, business analytics, and decision intelligence, with a strong emphasis on methodological rigor, interpretability, and real-world impact.

I specialize in exploratory data analysis (EDA), predictive modeling, causal analysis, time series forecasting, and sentiment analysis, helping organizations move from descriptive reporting to evidence-driven decision-making. My approach prioritizes data quality, business context, and stakeholder understanding before deploying advanced analytics or AI solutions.

As the Team Lead of iPace Concepts, I have experience building data-driven products, designing analytics curricula, and delivering consulting services across multiple sectors. My work blends industry analytics with academic research thinking, enabling me to communicate complex technical concepts in simple, practical ways.

I am currently deepening my expertise in Python, Machine Learning (ML), and Deep Learning (DL) while actively building a public analytics portfolio through Kaggle projects, applied case studies, and open analytical research.

Career Vision

Building a career as a methodological data scientist and applied research analyst, combining statistical rigor, machine learning, and business analytics while advancing data literacy through iPace Concepts.