I use data to understand performance, identify patterns and gaps, and build reporting and visualizations that help teams make informed decisions.
My experience includes public-health and programme data, with transferable skills across data analysis, reporting, operations and business intelligence.
View my workData analyst with hands-on experience in public-health and programme data.
I work with health and programme data to improve quality reporting, understand performance, identify gaps and communicate findings clearly to technical and non-technical teams.
My background includes HIV, TB, PMTCT, maternal and child health and GBV programmes, alongside data validation, quality assessments, dashboards and donor- and Ministry of Health-aligned reporting.
I approach analysis practically: understand the data structure, document assumptions, check quality, include domain logic & constraints and build outputs that help people use the numbers in review meetings and day-to-day decisions. My skills transfer across data analysis, reporting, operations and business intelligence.
Areas of focusData work from Kenya's public health sector - Programme Data, TB/HIV cascade, health equity, among other areas.
A reproducible ELT pipeline that combines WHO, World Bank, UNAIDS and Global Fund data to analyse Kenya’s HIV programme and health-system context. It stages and models the data in DuckDB, defines analytical features in SQL, and produces traceable, source-labelled outputs and visualizations.
Read case studyA SQL-based data quality engine for validating and standardizing Kenya's public health datasets. A PostgreSQL data quality system that automatically detects, records and manages common errors across public-health datasets. It demonstrates how validation, issue triage and audit trails can be built directly into the data layer.
Read case studyA reproducible Python pipeline for examining TB burden, notification gaps, treatment outcomes and service context in Kenya. The project combines multiple public data sources while keeping indicator definitions, data limitations and analytical assumptions explicit.
Read case studyCombined programme and geographic data to create a clearer view of supported health facilities, service coverage and programme reach.
Read case studyAn interactive explorer of WHO tuberculosis data, connecting estimated burden, case notification, treatment cohorts, outcomes, TB/HIV indicators and notified case demographics across Kenya and selected countries.
Read case studyI combine programme knowledge, analytical methods and clear communication to support reporting, performance review and evidence-based decisions.
I'm open to data analysis, monitoring and evaluation, health information and public-health analytics roles across Kenya, East Africa and remote teams.
wayne@wayneowillis.com