MSc Mathematical Sciences with Distinction (76%) at AIMS South Africa & University of Cape Town. I build mathematical and statistical frameworks to solve real-world problems.
MSc Mathematical Sciences · AIMS South Africa & UCT BSc Statistics · University of Ilorin
76%MSc Distinction
4.31BSc CGPA / 5.0
1Publication
20+Community Hours
14AIMS Courses
Time Series AnalysisChange Point DetectionMastercard Foundation ScholarRoyal Statistical Society
What I Study
Research Interests
Driven by interdisciplinary approaches that bridge rigorous mathematical theory with practical, real-world applications across energy, health, and industry.
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Time Series Analysis
MSc thesis on comparative analysis of renewable & non-renewable energy generation across Germany, Spain, Finland & the Netherlands, using unified SARMA and VARMAX modelling frameworks.
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Change Point Detection
Identifying structural breaks in time series data, connecting statistical theory to real-world signals in energy, finance, and biological systems.
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Statistical Quality Control
BSc thesis applied SQC to water production at TOYI-CAM Table Water. Passionate about process monitoring, control charts, and quality assurance at industrial scale.
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Statistical Evaluation of AI Systems
Applying statistical rigour to evaluate the performance of machine learning and AI models, a frontier interest at the intersection of statistics and artificial intelligence.
Academic Journey
Education
Sep 2024 – July 2025Distinction · 76%
MSc Mathematical Sciences
AIMS South Africa · University of Cape Town
Thesis: Comparative Time Series Analysis of Renewable and Non-Renewable Energy Generation across four European Countries. Supervised by Prof. Rebecca Killick, Lancaster University.
Mastercard Foundation ScholarFully Funded
Oct 2018 – Oct 2023CGPA 4.31/5.0
BSc Statistics
University of Ilorin, Nigeria · 2nd Class Honours (Upper)
Thesis: Statistical Quality Control Analysis on quality characteristics of Toyi-Cam Table Water. Supervised by Dr. Lawal Babatunde Amusa.
Welfare SecretaryAcademic Committee
Technical Toolkit
Skills & Tools
Built across academic research, industry placements, and self-directed learning, always the right tool for the right problem.
From R and Python for statistical modelling to Power BI for communicating insights, I believe in using tools that serve the problem, not the other way around.
IMAK Consulting and Engineering Company Ltd · Lagos, Nigeria
Processing and maintaining large datasets for engineering and consulting projects. Validating data integrity, generating analytical reports, and supporting management decision-making.
Aug 2024 – Present
Digital Strategy & Analytics Associate
Kilishi in Lagos · Remote
Developed social media content strategies and drove brand product views from under 100 to thousands, demonstrating how data-driven digital strategy produces tangible business outcomes.
Research presented at institutional and academic settings, reflecting the breadth of my interests from energy systems to quantum information theory.
2025 · Masters Project
Comparative Time Series Analysis of Renewable and Non-Renewable Energy Generation
Unified SARMA + VARMAX modelling framework, Germany, Spain, Finland & the Netherlands. AIMS South Africa.
2025 · Seminar
Advanced Distance Measures Between Density Matrices in Quantum Information Theory
Exploring quantum state distinguishability, bridging Quantum Computing and Quantum Information coursework. AIMS South Africa.
2023 · Undergraduate Project
Statistical Quality Control Analysis of Quality Characteristics of Toyi-Cam Table Water
Data collection, SQC analysis using R & SPSS, leading to the adoption of new quality control measures. University of Ilorin.
Peer-Reviewed Research
Publications
Contributions to the scientific literature bridging statistical methodology and public health challenges.
March 2026 · UMYU Scientifica, 5(1), 516–527
Spatial and Predictive Modelling for Antimicrobial Resistance in Livestock: A Systematic Review
Omotoso, R. O., Odetokun, I. A., Abubakar, T. O., & Adejumo, A. O.
A PRISMA systematic review integrating spatial analysis, machine learning, and beta regression to map and predict antimicrobial resistance in livestock — advancing One Health surveillance and stewardship policy.
