Quincy Njoroge
@quincynjoroge
Data scientist and business analyst focused on digital health, data pipelines, and actionable analytics.
What I'm looking for
I am a data scientist and business analyst with experience designing digital health solutions, automating data pipelines, and delivering stakeholder-ready analytics across government and international health organisations.
I have led ETL automation, migrated pipelines from SAS to R, built Power BI and Quarto reporting, and modelled business processes (BPMN) to support national digital health integrations.
I combine technical proficiency in Python, R, SQL and BI tools with facilitation, training and documentation skills to drive adoption of interoperable systems and measurable improvements in data quality and usability.
Experience
Work history, roles, and key accomplishments
Business Analyst
World Health Organisation
Jan 2025 - Mar 2025 (2 months)
Conducted desk reviews and stakeholder workshops to shape the Community Health Digital Adaptation Kit (DAK), enhancing usability across five countries and driving adoption. Modeled 10+ community health workflows in BPMN and produced personas and scenario maps to improve system design accuracy.
Data Analyst
Government Actuary’s Department
Jun 2024 - Jan 2025 (7 months)
Automated ETL across 13 pension schemes and migrated pipelines from SAS to R, reducing data-prep and manual reporting time by ~80% and improving reproducibility. Built Quarto reports and Power BI dashboards and developed an R function library under Azure DevOps.
Data Science Associate
IntelliSOFT Consulting Ltd
Nov 2021 - Sep 2024 (2 years 10 months)
Designed standardized data dictionaries and decision logic tables for digital health systems, adapted national guidelines into WHO Digital Adaptation Kits, and mapped 500+ terminology concepts into Open Concept Lab to improve interoperability.
Data Manager Intern
University of Westminster
Nov 2022 - Sep 2023 (10 months)
Integrated data from seven sources into a centralized system, built Power BI dashboards, and analyzed student survey data in Python to surface behavioral trends that informed app feature improvements.
Education
Degrees, certifications, and relevant coursework
University of Westminster
Master of Science, Data Science and Analytics
2022 - 2023
Grade: Distinction
Completed an MSc in Data Science and Analytics with High Honors (Distinction), focusing on data analysis, machine learning, and data visualization.
The Catholic University of Eastern Africa
Bachelor of Science, Computer Science
2016 - 2020
Earned a Bachelor of Science in Computer Science, covering core computing subjects including programming, data structures, and systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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