Public health
Public-health risk data services
Statistical components, pipelines, and backend data services for a public risk application.
Context
The work supported a public application that presented risk information.
Challenge
Statistical components, pipelines, and backend services needed to work together reliably.
Role
Delivered data science and backend data services for the application.
Architecture And Delivery
Built statistical components and data pipelines with R, Python, AWS Lambda, and RDS.
Validation
Wrapped iCARE R functions in Python and supported the application’s backend data services.
Outcome
Supported a public risk application with statistical components, pipelines, and serverless data services.