Alec McCarthyPublic health data scientist building field-ready data systems
I build data workflows for global health programs: ODK pipelines, QA checks, and reporting that holds up in the field.
What I focus on
Field-first data systems
ODK forms and R pipelines built for low-connectivity settings, plus the training materials for the teams that use them.
Data quality
Validation checks that catch bad numbers before they get published: duplicates, impossible totals, misattributed records.
Analytics + geo
Analysis and geospatial mapping in R and Python for surveillance and program reporting.
Currently
Building data infrastructure for Guinea Worm surveillance at the Carter Center. Also developing Correl, an interactive correlation analysis tool.
Selected work
Projects
A few things I've built across field operations, surveillance systems, and data automation.
Guinea Worm Program: ODK → QA → reporting pipeline
Built and maintained a production data workflow for Guinea Worm eradication operations, connecting field data collection to standardized outputs.
508 PDF automation & multilingual reporting (Cloudburst Group)
Automated PDF accessibility remediations and translation workflows to streamline compliance and reporting across international development projects.
MEWS Evaluation (MPH capstone): climate-informed outbreak risk
Evaluated and improved an early warning approach for meningitis outbreaks using climate data and operational constraints.
Data quality audits at village scale
Performed deep-dive audits on national datasets to identify structural issues that can silently corrupt analysis.
Correl
An interactive correlation analysis tool for exploring relationships across variables in structured datasets. Currently in active development.
Auto508
Automated PDF accessibility remediation tool for Section 508 compliance.
Get in touch
Data science, analytics engineering, public health data
I work across the full pipeline, from data collection through to reporting. If you need someone who can own that end to end, reach out.