プロフィール詳細

プロジェクトを作成

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Olaniyi O.に依頼

United Kingdom

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

プロフィール概要

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)

専門分野

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

サービス

• 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

職務経験

Warehouse

GI Group UK

9月 2023 - 現在

Monitoring and Evaluation Officer

DKT International Nigeria

3月 2019 - 現在

Data Manager and Research Associate

University College Hospital Ibadan Nigeria (SIREN Project)

5月 2016 - 2月 2019

学歴

Msc (Epidemiology and Medical Statistics)

University of Ibadan College of Medicine

5月 2015 - 12月 2016

BSc Statistics

University Of Ibadan - Nigeria

9月 2010 - 5月 2013

認定資格

• IBM Certified Data Science Professional

  coursera

  1月 2025 - 現在

出版物

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. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 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.