I sit at the intersection of health domain knowledge, data science, systems thinking, and UX-driven visualization — helping mid-sized NGOs and development organizations across Africa transform program data into tools that drive decisions, not just reports.

• BSc Biochemistry, University of Ibadan
• ALX Africa Data Science Programme (2026)
• Working toward computational public health systems

Gradient Boosting classifier (AUC 0.669) predicting hypertension risk using Nigeria DHS 2024 data. Includes SHAP interpretation, zonal disaggregation, and policy-relevant findings on predictors across geopolitical zones.

Pythonscikit-learnSHAPDHS DataPublic Health

End-to-end analytics system for a maternal health NGO — 4,100 records, 18-indicator data dictionary, and a 43-percentage-point skilled birth attendance gap finding surfaced through UX-driven dashboards.

Power BIData CleaningHealth IndicatorsNGO Analytics

Field operations dashboard for malaria program monitoring — 51,974 records processed into an interactive Power BI report tracking intervention reach and operational bottlenecks.

Power BIMalariaField OperationsM&E

Languages & Analysis

Visualization & Dashboards

ML & Data Science

Design & UX

• Nigeria Health Access Index — LGA-level health accessibility scoring using public data, with malaria as the primary burden layer

Health Program Analytics ████████████████████ M&E System Design ███████████████░░░░░ Predictive Modeling ██████████████░░░░░░ UX-Driven Dashboards ████████████████░░░░ Scientific Writing ████████████░░░░░░░░