Portfolio

Data Science

Maternal and Neonatal Health & Malaria PowerBI Dashboards

I applied R programming tools to analyze and visualize complex health data, providing actionable insights for maternal, neonatal, and malaria-related initiatives. The Maternal and Neonatal Health dashboard, in particular, was created for the $30 million Beginnings Fund investment in Zimbabwe and utilized Bayesian statistics for more robust analysis. The malaria dashboard was created using simulation data.

Maternal and Neonatal Health Dashboard Malaria Dashboard

Health Informatics & Research

KPIs Chemotherapy Centres

A data analysis project using R to evaluate Key Performance Indicators for chemotherapy centers. This included using Ellicit and Ryyan AI to undertake a rapid scoping review.

R Analysis Plot

HLF AI Writing Tools Comparative Analysis

A comparative study and analysis of various AI writing tools, built with HTML.

AI Writing Tools Page

Other Notable Projects

Maternal and Neonatal Health Indicator Monitoring

This section highlights the user visualisation interface on the Commcare application.

CommCare Data Collection Tool
  • Revision of Maternal and Neonatal Health data and equipment tracking collection tools on CommCare - A project focused on revising data collection tools used to collect data from 16 high-burden hospitals in Zimbabwe currently supported by HLF.
  • Maternal and Neonatal Health data collection gap analysis - An analysis of gaps in data collection for maternal and neonatal health programs in Zimbabwe, highlighting the use of Artificial Intelligence (Google Gemini) to identify gaps and draft recommended updates.

Equipment Tracking

  • Maternal and Neonatal Health equipment catalogue - A digital catalogue of the 1,730 pieces of equipment donated by HLF to 16 hospitals in Zimbabwe over a 4-year period, created to improve tracking and increase the speed of repair and return to the hospital for function.

Health Economics

  • Maternal and Neonatal Health Costing Zimbabwe - A costing analysis for maternal and neonatal health services specifically for Zimbabwe, using an ingredient-based costing, bottom-up approach.