DataKind

Working with a distributed team of volunteer data scientists, engineers and product managers over 8 months, I helped develop a pipeline for identifying problematic data collected from frontline health workers and visualize how they might understand and correct these errors.

You can read a writeup on the project on the DataKind blog.

System map of the data quality pipeline