Melkie Chernet (MSc)
Co-founder
Training & Data Analytics Lead
Melkie is a public health data scientist and biostatistician who specialises in research data management. He has delivered training, developed curricula and designed data systems for large-scale survey and administrative data. He works in ODK, SurveyCTO, REDCap, CSPro, Epi Info, DHIS2, Stata, SAS, R, R Shiny, Python and Tableau, and has deep experience in complex data workflows and sampling-error estimation.
His interests include machine learning, predictive modelling and epidemiological data systems. He holds an MSc in Biostatistics from Hasselt University, Belgium, and an MSc in Public Health Data Science from Addis Ababa University.
Areas of expertise
- Monitoring & evaluation
- Electronic data collection tools
- Survey data analysis and visualisation
- Schisto/STH
- RMNCAH research
Projects Worked On
- Schisto/STH Transmission Interruption projec — Lead Data Manager
directed electronic data capture and data system operations [CIFF]
- Ethiopia Performance Monitoring for Action (EPMA) RMNCAH project — Assistant Data Manager
Indicator reporting and data validation [Gates Foundation]
- Quality Healthcare Activity, commissioned by JSI — Data Analyst
analytical workflows and health system data cleaning [USIAD]
- Kulfo Grand Project — Data Analyst
automated reporting pipelines and spatial data tools [Arba Minch University]