Rachel Wells

Rachel codifies processes, ensures all projects are executed with the highest quality standards, and creates structures to facilitate experimentation and sharing of learnings. Before joining the team, she was a DataKind volunteer, passionate about data science for the social good. She has worked at IBM as a Data Scientist and at Innovations for Poverty Action in poverty measurement, capacity building, and research and data support. She was a Baylor University Scholar with a concentration in Mathematics. Rachel lives in Washington, DC, where she enjoys long walks on the Anacostia River Trail.