
Online News Performance Analysis
A 40,000-article analysis that separates useful publishing signals from weak predictors—and turns them into an editorial decision framework.
View case study ↗Data × research × learning
Data Analyst · AI/ML Researcher · Data Analytics Facilitator
I turn complex data into clear decisions, test machine-learning models with care, and help people build practical analytics confidence.
Data analysis portfolio
Selected Power BI projects across digital publishing, financial inclusion, customer experience, and retention.

A 40,000-article analysis that separates useful publishing signals from weak predictors—and turns them into an editorial decision framework.
View case study ↗
Exploring who is excluded from financial systems—and the patterns behind access.
View case study ↗
Identifying the service factors most associated with passenger satisfaction.
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Research portfolio
Published and ongoing research at the intersection of machine learning, health, and workforce evidence.
A comparative evaluation of spline, beta, and Platt calibration scaling for more trustworthy diagnostic probability estimates.
View research summary ↗Data analysis and model development supporting research into the factors that shape nursing workforce resilience.
View ongoing work ↗Current focus
Capabilities
A working toolkit for preparing evidence, analysing it responsibly, and helping others build the same capability.
Facilitation
My sessions move from concepts to guided practice, then to projects learners can explain—not just reproduce.
Excel, SQL, Power Query, Power BI, and Python taught through realistic data questions and repeatable workflows.
Exercises and capstones that develop data cleaning, exploration, visualisation, interpretation, and presentation skills together.
Clear explanations, live demonstrations, feedback, and room for learners to build confidence at different starting points.



Python foundations, Jupyter/Colab, NumPy, Pandas, cleaning, EDA, visualisation, statistics, and a guided project.
Excel, Power Query, Power Pivot, SQL, Power BI, and an end-to-end capstone.
Question framing, analysis, dashboard design, storytelling, and communicating recommendations.
Accessible introductions to data, digital tools, and project-based analytical thinking.
Facilitation delivered with StatsphereIQ Analytics, the Institute of Digital Humanities and Technologies, and Anchor University Lagos.
Experience
I work across analysis, research, and education—spaces united by a simple goal: make evidence understandable enough to act on.
View full résuméEducation
University of Lagos
Obafemi Awolowo University
Professional development
Selected publication and learning experiences that have shaped my analytical practice.
Co-authored a comparative study of spline, beta, and Platt calibration scaling for disease-diagnosis modelling.
View publication ↗Participated in intensive artificial-intelligence learning and practical development.
Participated as a general delegate in the African machine-learning and AI community gathering.
Notes in public
Practical writing on data analysis, statistics, Python, and responsible artificial intelligence.
A practical walkthrough of interpolation choices and their use in a DataFrame.
Read on Hashnode ↗A clear introduction to how and where Python variables are available.
Read on Hashnode ↗A practical distinction between summarising observed data and drawing conclusions about wider populations.
Read on LinkedIn ↗An overview of the model’s capabilities, reliability, safety approach, and potential applications.
Read on LinkedIn ↗Let’s work together
I’m open to analytical projects, responsible AI/ML research, training partnerships, workshops, and conversations with teams who care about useful evidence.
Send a message here and I’ll reply directly to the email address you provide.