THE QUANTITATIVE GAZETTE

Data Analysis • Data Science • Research & Statistics

Data Analyst & Statistician Who Turns Messy Data Into Decisions

Turning food-price data into evidence you can act on.

First-Class Statistics graduate with hands-on experience in data analysis, machine learning, automation and applied research — from a state health commission's data systems to a national food-price study.

Open to: Data Analysis · Research & Statistics · Data Science

Based in Akure & Lagos · Open to full-time, remote and internship roles · NYSC: not yet mobilised, available for an immediate start

View Experience ↓Read the Flagship Investigation →

Results

~65%

less manual data entry

100+

legacy files made searchable

10+

research projects supported

Professional Summary

Data analyst and statistician (B.Tech Statistics, First-Class Honours, Federal University of Technology, Akure) with hands-on experience in data analysis, machine learning, process automation and applied econometric research. Skilled at turning raw, multi-source data into clear, defensible findings using R, Python, SQL and SPSS, and at communicating results to non-technical audiences through plain-language reports and written analysis. Seeking roles in data analytics, data science, and research and statistical analysis, including market research and technical writing for analytics.

Education & Credentials

  • B.Tech Statistics — First-Class Honours
  • FUTA, Akure
  • Thesis: Intervention Analysis of the 2023 Petrol Subsidy Removal on the Volatility of Food Price Inflation in Nigeria (DOI link)
  • Finding: fuel and dollar shocks reached bread and beef, but not tomatoes or onions.
  • Undergraduate thesis: ResearchGate (DOI)

Experience

The career desk

2024 – Present

Present

Freelance Statistical Analyst

Independent Client Projects

  • Provided statistical consulting and analysis support (SPSS, R) on 10+ postgraduate and undergraduate research projects across the social and biological sciences, covering methodology, analysis and interpretation.
  • Built predictive classification and regression models and deployed them as live interactive web apps on Replit for client use.
  • Cleaned multi-source survey and experimental data and ran non-parametric tests, ANOVA and multivariate regression to produce research findings.

Jan 2026 – Sep 2026

Research & Statistical Review Support

Department of Statistics, FUTA

  • Worked with Prof. O. A. Fasoranbaku to review model specifications, residual diagnostics and data integrity on 3+ undergraduate thesis projects, checking regression assumptions.
  • Audited time-series analyses on volatile datasets to confirm statistical accuracy in final research deliverables.

May 2025 – Nov 2025

SIWES Intern — Data Operations & Automation

Ondo State Contributory Health Commission (ODCHC)

  • Six-month SIWES placement, rotating across departments.
  • Built a browser extension that automates enrollee registration data entry, cutting manual processing time by ~65% and reducing input errors across hundreds of records.
  • Developed an enrollee and authorization search web app indexing 100+ legacy Excel files, reducing surgery-authorization code lookups from 15+ minutes to under 5 seconds.
  • Implemented a centralized file-tracking system for the Case Management department, cutting document lookup delays by ~40% and improving cross-department case visibility.
  • Automated beneficiary verification with Python workflows that process verification codes, clearing manual backlogs and raising daily onboarding capacity.

Earlier Project Work

Jan 2024 – Mar 2024

Data Curation & ML Contributor — Afrikaans (early-stage startup)

Curated and cleaned audio–text datasets for low-resource African languages (including Kinyarwanda) for text-to-speech training, and benchmarked open-source TTS models.

Leadership

Final semester, 2026

Coach, Statistics Department Football Team — FUTA

Coached the department team to the HOD's Cup trophy after restructuring formation and player roles from opponent analysis.

Ran pre-match briefings and half-time adjustments for a 20+ player squad.

Projects

Filed from the research desk // Vol. 01
INDEPENDENT ANALYSIS

Diesel price isn't the decision. Fuelling access is.

A CNG conversion case for a 30-truck Nigerian haulier: what decides whether converting pays, and what to test first.

Decision AnalysisUnit EconomicsScenario Modelling

Where a truck can fuel, it nets about ₦1.4M a month and repays a ₦9M conversion in about 6 months. Where it can't, about ₦65k.

Illustrative client · public data · every assumption labelled

Read the Analysis →Featured Investigation

The Jollof Paradox

Why fuel subsidies cannot rescue Sunday jollof: 62 months of NBS data show perishable prices do not track fuel or dollar moves.

SARIMAXGARCH(1,1)Prophet

Fuel relief reaches rice, beef and bread. For tomatoes and onions, no detectable pass-through.

62 months · 9 commodities

62 monthly observations · national averages · see limitations in the article

Read Dispatch →

Core Competencies

Fact sheet

Data Analysis & Statistics

SPSS, R, hypothesis testing, ANOVA, regression, survey & experimental data

Data Science & Machine Learning

Python, classification & regression models, time-series forecasting, model deployment

Research & Technical Writing

research design, methodology review, plain-language reporting of statistical results

BI & Automation

Python workflows, Excel, internal web tools. Working knowledge: SQL, Power BI.

Classifieds

Contact

Open to data analysis, data science and research roles. Get in touch.

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