Case study · 2026
Maternal Health Analytics
Well on Their Way — turning fragmented Excel health databanks into analysis-ready tables, GIS layers, and Tableau dashboards for maternal–child programs in Gulu District, Uganda.
Overview
Well on Their Way supports maternal and child health through village health team (VHT) training and facility-level monitoring. Program data lived in large Excel “databanks” that were hard to refresh and join to maps. I built a repeatable Python pipeline, cleaned spatial boundaries in QGIS, and published interactive Tableau dashboards for training coverage, district impact (Gulu vs Omoro), and obstetric POCUS field data.
Data pipeline
Excel sheets were imported into long-format CSVs, then reshaped into analysis tables with population denominators and inferred coverage rates for Impact and VHT Training metrics. Plotly scripts produced HTML chart hubs for quick exploration before dashboarding.
- Import fragmented databanks → standardized long output
- Build comparison and per-source tables with formula-based %
- Generate interactive charts for recurring metric reviews

GIS & QGIS
Public and local shapefiles needed cleanup before joining metrics. Boundaries were fixed in QGIS, exported as GeoJSON, and joined to VHT and impact indicators so Tableau maps aligned with real subcounties and health-center catchments.

Tableau dashboards
Dashboards and storyboards covered antenatal and postnatal coverage, immunization and nutrition indicators, Gulu vs Omoro impact comparisons, and POCUS survey results — filtering by period and geography on the cleaned layers.



Interactive demo
Live Tableau embeds are withheld while program data stays private. An interactive walkthrough is available on request; a scrubbed Tableau Public link can be added here later.