โ HEALTH DATA SYSTEMS STRATEGIST
โ HEALTH DATA SYSTEMS STRATEGIST
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Anthony
Anthony
Okeibuno
Okeibuno
Helping health-focused NGOs and health-tech startups turn messy data into decision-ready systems that drive real-world impact.ย
โ WHO I AM
Data that thinks with you,
Data that thinks with you,
not at you.
not at you.
I bridge the gap between raw health data and real decisions โ combining scientific rigor with UX-driven thinking.ย
I'm Anthony Okeibuno, a Health Data Systems Strategist specializing in turning complex, fragmented health impact data into structured, decision-ready insights. My work sits at the crossroads of public health, data science, and user experience โ because good data systems must be understood to be used.
I work with health-focused NGOs and health-tech startups who collect valuable field data but struggle to translate it into action. I build the systems, models, and visualizations that make that translation seamless โ and accessible even to non-technical stakeholders.
My approach is project-driven and hands-on. Every engagement is an opportunity to not just analyze data, but to redesign how an organization relates to its own information.
โ EXPERTISE
Technical depth,
Technical depth,
practical clarity.
practical clarity.
A toolkit built for health data's real challenges โ from messy CSVs to executive dashboards.
Core Technical Skills
Core Technical Skills
Data Analysis
Python
SQL
Data Visualization
Statistical Analysis
Data Cleaning
Dashboard Development
Machine Learning
Data Modeling
Domain Specializations
Domain Specializations
Health Data Analysis
Impact Reporting
NGO Reporting
Public Health Analytics
Health-Tech Analytics
Decision Support Systems
Monitoring & Evaluation
Impact Measurement
Field Data Management
Tools & Platforms
Tools & Platforms
Python / Pandas
Matplotlib / Seaborn
Power BI
SQL / PostgreSQL
Excel / Google Sheets
Jupyter Notebooks
โ WHAT I OFFER
Services built for
Services built for
health data's complexity.
health data's complexity.
End-to-end data strategy and delivery โ from raw field data to boardroom-ready insights.
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Data Cleaning & Preprocessing
Data Cleaning & Preprocessing
Transforming inconsistent, duplicate-laden, or incomplete health datasets into clean, analysis-ready data using Python and SQL pipelines.ย
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Decision-Ready Dashboards
Decision-Ready Dashboards
Designing and building interactive dashboards that surface the right metrics at the right time โ built for program managers and executives, not just analysts.ย
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Impact Reporting Support
Impact Reporting Support
Building structured M&E frameworks and impact reports that satisfy donor requirements while actually communicating program value to all stakeholders.ย
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UX-Informed Reporting Systems
UX-Informed Reporting Systems
Creating reporting systems designed around how non-technical stakeholders actually think โ translating data complexity into accessible narratives and intuitive interfaces.ย
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Data Modeling & Structured Analysis
Data Modeling & Structured Analysis
Designing data models that capture the logic of health programs โ enrollment flows, outcome hierarchies, geographic distributions โ and make them queryable and scalable.ย
โ PORTFOLIO
Projects that
Projects that
moved the needle.
moved the needle.
Real-world health data work with measurable impact. Methodology notes available on request.
BirthBridge Data Story
BirthBridge Data Story
Comprehensive analysis of enrollment and program records across three Nigerian states, uncovering geographic disparities and temporal trends in maternal care access to generate actionable recommendations for program stakeholders.ย
4,100+
Records Analyzed
3
States (Kano, Kaduna, Sokoto)
12
Months of Data (JanโDec 2024)
Python Data Visualization Impact Reporting Public Health
VitaLoop Health
VitaLoop Health
Systematic analysis of 49,510 community health visits, stock records, and patient referrals across three regions, revealing a critical mismatch between disease burden and resource allocation that placed VitaLoop's most efficient operation at stockout risk.
49,510
Verified Records Analyzed
3
Regions (Northern, Eastern, Southern)
40
Community Health Agents Tracked
Power BI SQL Python
โ GET IN TOUCH
Let's build something
Let's build something
decision-ready.
decision-ready.
Whether you have a specific data challenge or just want to explore how I can help, I'd love to hear from you.ย
Currently available for freelance engagements and consulting projects. Response time is typically within 24โ48 hours.ย
ยฉ 2026 Anthony Okeibuno. Health Data Systems Strategist.ย
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