Andrew B. Stephendata · health · development

Data Analyst · Data Scientist · Kigali, Rwanda

I turn health and program data into decisions people can act on.

I build Power BI dashboards, analyse survey and operational data with SQL, Excel and Python, and train computer-vision models for medical imaging. My work sits where public health, government data and machine learning meet, across Rwanda and Nigeria.

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andrewstephen703@gmail.com github/andrew-steve linkedin +250 794 998 010
Portrait of Andrew Blayama Stephen
4research outputs in 2025: MICCAI, ICCV, IEEE AFRICON, AI in Health Africa
6data and technology roles since 2019
2countries of practice: Rwanda and Nigeria
MSElectrical & Computer Engineering, Carnegie Mellon University Africa

Profile

Analyst by training, researcher by habit.

I started in IT support and database work at the Nigerian Communications Commission, moved into government health and education analytics in Kaduna State, and now support Rwanda's national data governance work at Cenfri. Alongside that I publish applied ML research on medical images from low-resource settings.

profile.pyIn [1]
>>> andrew.info()
<class 'DataAnalyst'>  # also answers to DataScientist
location    Kigali, Rwanda  (prev. Kaduna & Abuja, NG)
now         Data Science Fellow @ Cenfri
degree      MS ECE, Carnegie Mellon University Africa
analytics   Power BI · Tableau · Excel · SQL · Python
ml / cv     YOLO · Vision Transformers · nnU-Net
field tools ODK · GitHub · Docker
domains     health · education · data governance
open_to     "Data Analyst / Data Scientist roles"
dtype: mission-driven, international development

Most of my work starts with a question from someone who is not a data person: a ministry planner, a programme manager, a clinician. I scope the question, check the data is fit for it, do the analysis, and hand back something they can use, usually a dashboard or a short briefing.

On the research side I care about models that work with the data Africa actually has: small MRI cohorts, microscope slides from local labs, and limited annotation budgets.

  • Stakeholder-first reporting for technical and non-technical audiences
  • Data quality, validation and documentation built into the workflow
  • Reproducible analysis with Python, SQL and version control

What I do

Three ways I can help a team.

Each one is backed by work I have delivered. Follow the links for the detail.

Analytics & BI reporting

Power BI dashboards for programme and operational KPIs, automated reporting in Excel and SQL, and survey analysis that ends in a clear recommendation.

  • Power BI
  • SQL
  • Excel
  • Tableau
  • Statistics

Evidence: Natview dashboards, Kaduna health surveys

Machine learning & computer vision

Detection, classification and segmentation models for medical images, from dataset validation and labelling to training, evaluation and write-up.

  • Python
  • YOLO
  • ViT
  • nnU-Net
  • Recommenders

Evidence: 4 papers & posters, malaria detection

Data governance & quality

Data cataloguing, quality checks, interoperability and responsible data-sharing practice for government data systems.

  • Cataloguing
  • Data quality
  • ODK
  • Documentation

Evidence: Rwanda data governance at Cenfri

Experience

Where I have worked.

Most recent first. Government, research and non-profit settings in Rwanda and Nigeria.

  1. Oct 2025 – present

    Data Science Fellow

    Cenfri · Kigali, Rwanda

    • Support Rwanda's national data governance and data cataloguing initiatives.
    • Improve data quality, interoperability and responsible data-sharing practices.
    • Collaborate across government teams on data management and analytics projects.
    • Contribute to centralised reporting and analytics infrastructure.
    Data governanceCataloguingPublic sector
  2. Aug 2025 – Dec 2025

    Graduate Teaching Assistant, Recommender Systems

    Carnegie Mellon University Africa · Kigali, Rwanda

    • Built and debugged collaborative-filtering and content-based models for course labs and student projects.
    • Ran weekly office hours and review sessions on machine learning and recommender systems.
    • Handled course logistics, announcements and student communication.
    Recommender systemsPythonTeaching
  3. Jun 2025 – Aug 2025

    Graduate Research Assistant

    Carnegie Mellon University Africa · Kigali, Rwanda

    • Applied AI and machine learning to healthcare data analysis projects.
    • Validated datasets to improve data reliability and model performance.
    • Ran exploratory data analysis and model evaluation in Python.
    • Improved analytical pipelines through continuous testing and optimisation.
    Health AIEDAModel evaluation
  4. Apr 2024 – Jul 2024

    Data Analyst

    Natview Foundation for Technology Innovation · Kaduna, Nigeria

    • Built Power BI dashboards to monitor operational and programme performance metrics.
    • Analysed survey and operational data with Excel, SQL and statistical methods.
    • Automated reporting workflows to improve accuracy and turnaround.
    • Translated stakeholder questions into analyses and presented findings to technical and non-technical audiences.
    • Supported data collection, validation, documentation, QA and reporting standards.
    Power BISQLExcelSurvey analysis
  5. Aug 2023 – Apr 2024

    Data Science Fellow

    Kaduna State Bureau of Statistics · Kaduna, Nigeria

    • Supported the Kaduna State Government's health data pipelines and modelling for planning and decision-making.
    • Worked directly with sector experts to frame analytical questions.
    • Gained hands-on experience with the state's analytical tools and statistical workflows.
    Health dataGovernmentPipelines
  6. Jul 2019 – Dec 2021

    Intern, IT & Database Support

    Nigerian Communications Commission · Abuja, Nigeria

    • Provided IT support to staff and departments across the Commission.
    • Handled hardware and software repairs, troubleshooting and maintenance.
    • Managed databases and wrote queries for internal teams.
    DatabasesIT support

Toolkit

Tools I reach for.

Grouped by the job they do. The note on the right shows where I have used each one.

Analysis & BI

  • Power BI Natview
  • Microsoft Excel surveys, reporting
  • Tableau visualisation
  • Statistical analysis Kaduna studies

Code & data

  • Python EDA, ML
  • SQL reporting, queries
  • GitHub version control
  • Docker environments

Machine learning

  • Object detection YOLO
  • Image classification ViT
  • Segmentation nnU-Net
  • Recommender systems CMU-Africa

Data practice

  • Data governance Cenfri
  • Data quality & QA all roles
  • ODK data collection drug survey
  • Stakeholder reporting briefings

Recent updates

News log.

Papers, talks and programmes from the last year and a half.

  • Glioma segmentation paper published in the MICCAI 2025 workshop proceedings, Springer LNCS vol. 16376.

    DOI

  • Presented leukemia detection with YOLO and Vision Transformers at IEEE AFRICON 2025, Polokwane, South Africa.

    Paper

  • Joined Cenfri as a Data Science Fellow supporting Rwanda's national data governance work.

    Role

  • Presented glioma segmentation on limited Sub-Saharan MRI data at MICCAI 2025, Daejeon, Republic of Korea.

    Paper

  • Attended the Digital Humanism Summer School, Kigali, Rwanda.

  • Attended the inaugural Nuclear Energy Innovation Summit for Africa (NEISA), Kigali, Rwanda.

Education

Engineering foundations.

Aug 2024 – Dec 2025 · Kigali, Rwanda

MS, Electrical & Computer Engineering

Carnegie Mellon University Africa

Nov 2016 – Sep 2021 · Minna, Nigeria

B.Tech, Electrical & Computer Engineering

Federal University of Technology Minna

Volunteering

Beyond the job.

  • Digital Malaria Control for the Developing World
  • Digital Humanism Summer School
  • Breast Cancer Awareness Campaign
  • SDGs Awareness Campaign

Hiring for data?

Let's talk about your data problem.

I'm open to Data Analyst and Data Scientist roles, especially in health, international development and the public sector. Based in Kigali and comfortable working remotely.

LinkedIn CV (PDF)