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Hire Olaniyi O.

United Kingdom

USD 30 /hr

MSc Medical Statistician | IBM-Certified Data Science Professional | Clinical Trials, Biostatistics & Research Analytics

Profile Summary

I am an MSc-qualified Medical Statistician and IBM-Certified Data Science Professional with broad experience across biostatistics, clinical research, and general data analysis. I work with diverse datasets ranging from clinical trials and healthcare studies to academic research and applied analytics projects. My expertise spans study design, data cleaning, statistical analysis, modelling, visualization, and clear interpretation of results. I am proficient in R, Python, SPSS, STATA, and Excel, with additional experience in GA4 for web and behavioural analytics. I also conduct qualitative and mixed-methods analysis using tools such as ATLAS.ti when projects require deeper contextual insights. I support clinical trials, thesis and dissertation analysis, research publications, and end-to-end data analysis workflows. I collaborate comfortably with researchers, students, clinicians, and organizations from varied backgrounds, adapting my approach to each project’s goals. My work emphasizes accuracy, transparency, reproducibility, and clear communication to ensure statistically sound and actionable outcomes. Tools & Expertise: * R, Python, SPSS, STATA, Excel * Biostatistics, clinical trial analysis, survival analysis, regression modelling * Data cleaning, EDA, statistical modelling, data visualization * Study design, publication-ready tables and figures, result interpretation * Google Analytics 4 (GA4) * Qualitative and mixed-methods analysis (ATLAS.ti)

Subject Matter Expertise

• ☆ Statistics
• ☆ Bayesian Statistics
• ☆ Medical Statistics
• ☆ SPSS
• ☆ Excel
• ☆ STATA
• ☆ R

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Clinical Trial Documentation, Technical Writing, Audio Transcription

Research Market Research, User Research, Meta-Research, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Cleaning, Data Processing, Data Insights

Work Experience

Warehouse

GI Group UK

September 2023 - Present

Monitoring and Evaluation Officer

DKT International Nigeria

March 2019 - Present

Data Manager and Research Associate

University College Hospital Ibadan Nigeria (SIREN Project)

May 2016 - February 2019

Education

Msc (Epidemiology and Medical Statistics)

University of Ibadan College of Medicine

May 2015 - December 2016

BSc Statistics

University Of Ibadan - Nigeria

September 2010 - May 2013

Certifications

• IBM Certified Data Science Professional

  coursera

  January 2025 - Present

Publications

PREPRINT

Olaniyi Olutola, Dominique Meekers, Lynn Abu Turk (2023). Using e-vouchers to promote use of a family planning call center: A comparative interruptive time series analysis .

Olaniyi Olutola, Dominique Meekers, Lynn Abu Turk (2023). Using radio jingles to promote use of a family planning call center: A comparative interruptive time series analysis .

JOURNAL ARTICLE

Olaniyi Olutola, Dominique Meekers, Lynn Abu Turk (2023). Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria . Gates Open Research.

Meekers D, Olutola O and Abu Turk L. Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria [version 2; peer review: 2 approved] Gates Open Res 2023, 7:75 (https://doi.org/10.12688/gatesopenres.14591.2) .

Olaniyi Olutola, Dominique Meekers, Lynn Abu Turk (2023). Using responsive feedback from routine monitoring data to guide course corrections for a family planning intervention in Nigeria . Gates Open Research.

Justina Ucheojor Onwuka, Akinkunmi Paul Okekunle, Olaniyi Matthew Olutola, Onoja Matthew Akpa, Rennan Feng(2020). Lipid profile and risk of ovarian tumours: a meta-analysis . BMC Cancer. 20. (1). Springer Science and Business Media {LLC}

Meekers D, Onuoha C and Olutola O. Applying the Fogg Behavior Model to improve contraceptive social marketing during the COVID-19 lockdown in Nigeria: a case study [version 1; peer review: 1 approved, 1 approved with reservations] Gates Open Res 2020, 4:141 (https://doi.org/10.12688/gatesopenres.13186.1) .

Olaniyi Olutola, Dominique Meekers, Chidinma Onuoha(2020). Applying the Fogg Behavior Model to improve contraceptive social marketing during the COVID-19 lockdown in Nigeria: a case study . Gates Open Research. 4. p. 141. F1000 Research Ltd

CONFERENCE ABSTRACT

Olaniyi Olutola (2022). Monitoring family planning needs and behaviour change intentions and follow-through using Customer Relations Management software: the experience of the Honey & Banana Connect Program in Nigeria . International Social and Behavior Change Communication Summit 2022.

Olaniyi Olutola, Jennifer Winston, Courtney McGuire, Lisa Calhoun, Ilene Speizer The association between referral to clinic and method continuation among callers to DKT Nigeria's Honey&Banana Connect . International Conference on Family Planning 2022.

CONFERENCE PAPER

(2022). AI-Powered Understanding of Family Planning Behavioural Change Using The Fogg Model. Practical ML for Developing Countries (PML4DC) workshop at ICLR 2022.