Data × research × learning

Data Analyst · AI/ML Researcher · Data Analytics Facilitator

Evidence made useful.

I turn complex data into clear decisions, test machine-learning models with care, and help people build practical analytics confidence.

Portrait of Enoch Adetunji
Open to data analysis, AI/ML research, and analytics facilitation opportunities.
130+learners supported
12facilitation sessions
10+academic projects analysed
1peer-reviewed book chapter

Data analysis portfolio

Dashboards that turn data into direction.

Selected Power BI projects across digital publishing, financial inclusion, customer experience, and retention.

Online news performance Power BI dashboard showing article and share metrics
Featured dashboard · Power BI

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.

Power QueryPower BIEDA
View case study ↗
Financial inclusion analysis dashboard

Financial Inclusion

Exploring who is excluded from financial systems—and the patterns behind access.

View case study ↗
Airline passenger satisfaction dashboard

Airline Satisfaction

Identifying the service factors most associated with passenger satisfaction.

View case study ↗
Telecommunications customer churn dashboard

Customer Churn

Turning customer behaviour data into retention-oriented insight.

View case study ↗

Research portfolio

Models examined with care.

Published and ongoing research at the intersection of machine learning, health, and workforce evidence.

Published research · 2025

Calibrated ML for Disease Diagnosis

A comparative evaluation of spline, beta, and Platt calibration scaling for more trustworthy diagnostic probability estimates.

Machine learningModel calibrationResearch
View research summary ↗
Research in progress

Nursing Workforce Resilience

Data analysis and model development supporting research into the factors that shape nursing workforce resilience.

ModellingStatistical analysisHealthcare
View ongoing work ↗

Current focus

What I’m actively developing.

  • Model development and data analysis for nursing workforce resilience research
  • Decision-focused dashboard case studies with transparent interpretation
  • Practical Python and data analytics learning experiences

Capabilities

Technical depth, organised around outcomes.

A working toolkit for preparing evidence, analysing it responsibly, and helping others build the same capability.

01

Analytics & business intelligence

  • Excel
  • SQL
  • Power Query
  • Power BI
  • Dashboard development
02

Python & machine learning

  • Python
  • NumPy
  • Pandas
  • Predictive modelling
  • Model calibration
  • Model evaluation
03

Research & statistics

  • Exploratory analysis
  • Statistical analysis
  • Data quality
  • Research interpretation
  • Technical reporting
04

Learning & facilitation

  • Curriculum development
  • Live instruction
  • Guided practice
  • Learner assessment
  • Capstone mentoring

Facilitation

I teach analysis as a way of thinking.

My sessions move from concepts to guided practice, then to projects learners can explain—not just reproduce.

01

Practical foundations

Excel, SQL, Power Query, Power BI, and Python taught through realistic data questions and repeatable workflows.

02

Project-based learning

Exercises and capstones that develop data cleaning, exploration, visualisation, interpretation, and presentation skills together.

03

Inclusive facilitation

Clear explanations, live demonstrations, feedback, and room for learners to build confidence at different starting points.

Enoch facilitating a data analytics session in a classroom
Hands-on analytics facilitation
Enoch teaching Power Query at the front of a classroom
Explaining repeatable data-preparation workflows
Learner presenting a telecommunications churn capstone dashboard, with face blurred for privacy
Learner capstone presentation · identity protected

Python for Data Analysis

Python foundations, Jupyter/Colab, NumPy, Pandas, cleaning, EDA, visualisation, statistics, and a guided project.

Zero to Data Analyst

Excel, Power Query, Power Pivot, SQL, Power BI, and an end-to-end capstone.

Analytics & Visualisation

Question framing, analysis, dashboard design, storytelling, and communicating recommendations.

Summer Bootcamp for Teenagers

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

Analytical rigour, communicated clearly.

I work across analysis, research, and education—spaces united by a simple goal: make evidence understandable enough to act on.

View full résumé
  1. Founder & Data Analyst · StatsphereIQ Analytics

    • Supported 10+ academic thesis projects through statistical analysis, data-quality review, and visualisation.
    • Translate analytical output into clear research-ready interpretation and reporting.
    • Design and facilitate applied programmes in Excel, SQL, Power BI, Power Query, and Python.
  2. Administrative Officer I · Anchor University Lagos

    • Contribute to the Directorate of Academic Planning and Quality Assurance.
    • Support the administrative work that underpins institutional planning and quality processes.
  3. Research Intern · ADA Global Academy

    • Completed an applied research internship at the intersection of evidence and technology.
    • Strengthened practical experience in research analysis and communicating findings.

Education

Foundations across people and computing.

PGD, Computer Science

University of Lagos

BSc, Psychology

Obafemi Awolowo University

Professional development

Research and community milestones.

Selected publication and learning experiences that have shaped my analytical practice.

Peer-reviewed book chapter

Co-authored a comparative study of spline, beta, and Platt calibration scaling for disease-diagnosis modelling.

View publication ↗

Data Science Nigeria AI Bootcamp

Participated in intensive artificial-intelligence learning and practical development.

Deep Learning Indaba

Participated as a general delegate in the African machine-learning and AI community gathering.

Notes in public

Ideas shared across platforms.

Practical writing on data analysis, statistics, Python, and responsible artificial intelligence.

Hashnode · Python

Handling Missing Values with Pandas Interpolation

A practical walkthrough of interpolation choices and their use in a DataFrame.

Read on Hashnode ↗
Hashnode · Python

Understanding Variable Scopes in Python

A clear introduction to how and where Python variables are available.

Read on Hashnode ↗
LinkedIn · Statistics

Descriptive vs. Inferential Statistics: A Complete Guide

A practical distinction between summarising observed data and drawing conclusions about wider populations.

Read on LinkedIn ↗
LinkedIn · Artificial intelligence

OpenAI Unveils GPT-5: A New Era of AI Expertise and Reliability

An overview of the model’s capabilities, reliability, safety approach, and potential applications.

Read on LinkedIn ↗

Let’s work together

Have a decision, dataset, or classroom in mind?

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.

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