Summary
Overview
Work History
Education
Skills
Affiliations
Certification
Accomplishments
Languages
Timeline
References
Abbreviations
Generic

Brian Otieno Onyando

Kisumu

Summary

Results-driven Data Analyst with expertise in STATA and R programming, honed at KEMRI-CGHR. Successfully developed interactive dashboards and led statistical analyses that informed public health interventions. Proven ability to communicate complex data insights effectively while enhancing data integrity and management processes. Committed to leveraging analytical skills for impactful outcomes.

Overview

4
4
years of professional experience
1
1
Certificate

Work History

Data Analyst

Trivalent Salmonella Conjugate Vaccine Trial (KEMRI-CGHR)
10.2023 - Current
  • Developed and executed data management and analysis plans.
  • Collaborated with study data managers to maintain data integrity.
  • Identified and resolved data inconsistencies and missing information.
  • Generated barcodes for biological sample labeling.
  • Conducted workshops and training sessions for non-technical staff on data analytics and data-driven decision-making.
  • Monitored performance and quality control plans to identify improvements in data systems.

Data Analyst

Cohort for Acute Respiratory Disease Surveillance (KEMRI-CGHR)
Kisumu
03.2023 - Current
  • Designed and implemented data capture tools for accurate, real-time surveillance data collection.
  • Led data collation across multiple sources, ensuring harmonization and consistency using STATA and R.
  • Cleaned and curated longitudinal datasets to support time-sensitive outbreak monitoring and cohort tracking.
  • Developed and executed algorithms for episode classification (e.g., Acute Respiratory Illnesses (ARI) episode determination based on clinical criteria and visit timing).
  • Automated workflows for follow-up adherence and care-seeking behavior using Stata and R.
  • Created performance dashboards to visualize metrics across study sites, which helped monitor performance across sites.
  • Supported statistical analysis of risk factors for ARI using logistic regression and survival analysis.
  • Coordinated data quality checks and discrepancy resolution with field and clinical teams to enhance data integrity.
  • Conducted real-time monitoring and evaluation (M&E) of follow-up completion rates, EMR utility, and ARI documentation compliance.
  • Prepared summary tables, visualizations, and analytical reports for internal reviews and stakeholder meetings.
  • Contributed to protocol development by providing input on data flow design, visit scheduling logic, and symptom tracking.
  • Conducted workshops and training sessions for non-technical staff on data analytics and data-driven decision-making.
  • Monitored performance and quality control plans to identify improvements in data systems.
  • Optimized existing database structures for better performance on analytics tasks.
  • Leveraged SQL queries to extract, transform and load data into databases.
  • Performed survival analysis to evaluate the incidence of influenza, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), and Respiratory Syncytial Virus (RSV) among elderly individuals.
  • Utilized spatial statistical techniques using QGIS to analyze and map the geographic distribution of study participants, using geocoded location data from the Health and Demographic Surveillance System (HDSS).
  • Generated spatial plots to visualize participant locations, enrollment patterns by village, and tracked enrollment trends over time. These spatial analyses were conducted and visualized using QGIS.

Data Analyst

COVID-19 Vaccine Effectiveness Program (KEMRI-CGHR) (June 2022 – Aug 2023)
Kisumu
06.2022 - 08.2023
  • Led statistical analysis for study manuscripts, and supported standard operating procedure (SOP) development.
  • Managed large datasets, including data retrieval, cleaning, and preparation for advanced analytics.
  • Developed interactive dashboards to monitor study indicators, enrollment, and site-level performance in real time.
  • Designed and implemented monitoring and evaluation (M&E) procedures that were routinely used to assess field performance across multiple sites.
  • Generated weekly performance reports that were shared with investigators, sponsors, and stakeholders during progress meetings
  • Served as lead author on a peer-reviewed manuscript
  • Contributed statistical analyses to multiple manuscripts under review.
  • Collaborated closely with investigators, data managers, and program teams to translate complex data into actionable insights.
  • Ensured adherence to data quality protocols and best practices in data governance, confidentiality, and analysis reproducibility.
  • Presented an abstract, “Factors Associated with Mortality Among Patients Requiring Hospitalization,” at the 2023 Annual Scientific Meeting of the American Society of Tropical Medicine and Hygiene (ASTMH) in Chicago, USA.
  • Conducted workshops and training sessions for non-technical staff on data analytics and data-driven decision-making.
  • Merged epidemiological data with COVID-19 test results that were shared with stakeholders, including the Ministry of Health, and government partners, to support real-time monitoring of COVID-19 trends and inform timely public health interventions.

Internship- Data Analyst

Influenza Program (KEMRI-CGHR)
Kisumu
05.2021 - 05.2022
  • Contributed to the design and preparation of data entry and capture tools to ensure efficient data collection, using Visual Basic and ODK tools.
  • Participated in the development of data dictionaries in Excel to support standardized data management.
  • Supported data collation, cleaning, and manipulation in compliance with the study protocol.
  • Assisted in data retrieval, analysis using SQL, STATA, and R, and interpretation to inform study objectives.
  • Collaborated with the study statistician to develop data analysis plans.
  • Performed data manipulation, statistical analyses, and generated reports and summary tables routinely.
  • Identified and resolved data discrepancies, addressed missing data, and coordinated with field teams to harmonize field and laboratory datasets.
  • Generated barcodes for accurate biological sample identification and tracking.
  • Conducted survival analysis to assess the incidence of influenza among pregnant and postpartum women.

Education

MSc - Epidemiology & Biostatistics

Jaramogi Oginga Odinga School of Science And Technology
04.2025

BSc - Biostatistics

Jomo Kenyatta University of Agriculture And Technology
01.2020

Kenya Certificate of Secondary Education -

Kanga High School
10-2014

Skills

  • STATA
  • R programming
  • SPSS
  • R Shiny
  • Microsoft power BI
  • QGIS
  • MS Excel
  • SQL
  • ODK
  • Epi Info
  • Visual Basic
  • MS Access
  • REDCap
  • Data analysis
  • Epidemiological methods
  • Spatial statistics
  • Infectious disease modeling
  • Machine learning
  • Survival analysis
  • Respiratory diseases
  • Data management
  • Database administration
  • Data visualization
  • Effective communication
  • Analytical thinking
  • Write reports
  • SQL databases
  • Data science
  • Database design
  • Problem-solving abilities
  • Statistical programming
  • Problem solving
  • Team leadership
  • Cleaning
  • Manipulation
  • Analysis
  • Reporting

Affiliations

  • Member, Adaptive Management and Research Consultants (AMREC)
  • Member, JKUAT Biostatistics Students Association

Certification

  • Mathematical Models of Infectious Disease, Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID), Emory University, 2024
  • Markov Chain Monte Carlo (MCMC) Methods I and II for Infectious Diseases, SISMID, Emory University, 2024
  • Good Clinical Practice Certificate, National Drug Abuse Treatment Clinical Trials Network, 2024
  • Good Clinical Practice Certificate, The Collaborative Institutional Training Initiative, 2023

Accomplishments

  • Factors associated with mortality among patients aged 12 years and above requiring hospitalization for severe respiratory illness (SRI): Findings from the COVID-19 vaccine effectiveness evaluation in Kenya and Mali, 2022–2023 (https://www.sciencedirect.com/science/article/pii/S0264410X25002075)

Languages

English
First Language

Timeline

Data Analyst

Trivalent Salmonella Conjugate Vaccine Trial (KEMRI-CGHR)
10.2023 - Current

Data Analyst

Cohort for Acute Respiratory Disease Surveillance (KEMRI-CGHR)
03.2023 - Current

Data Analyst

COVID-19 Vaccine Effectiveness Program (KEMRI-CGHR) (June 2022 – Aug 2023)
06.2022 - 08.2023

Internship- Data Analyst

Influenza Program (KEMRI-CGHR)
05.2021 - 05.2022

MSc - Epidemiology & Biostatistics

Jaramogi Oginga Odinga School of Science And Technology

BSc - Biostatistics

Jomo Kenyatta University of Agriculture And Technology

Kenya Certificate of Secondary Education -

Kanga High School

References

Prof. Jeconiah Abonyo Okelo,

Lecturer, Pure and Applied Mathematics,

Jomo Kenyatta University of Agriculture and Technology, P.O Box 62 000 – 00200 Nairobi, Kenya,

Cell: +254722971869.

Dr. Bryan Nyawanda

Scientific Collaborator, Swiss Tropical and Public Health Institute,

Email: oteebryan@gmail.com,

Cell: +25472576138 / +41783036648.

Dr. Vincent Were

Senior statistician, AMREC,

P.O Box 133-3050, Kisumu,

Email: vwere@kemri-wellcome.org,

Cell: +254721876573.

Abbreviations

  • Kenya Medical Research Institute - Centre for Global Health Research (KEMRI-CGHR)

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