Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Emily Riederer

Emily Riederer
Analytics Manager, Capital One


Emily Riederer is an Analytics Manager at Capital One where she focuses on building opinionated data products to promote scalable and reproducible business analysis. At Capital One, she has worked across acquisitions and CRM credit strategy and led consulting initiatives for retail partners.

Outside of work, Emily is an active member of the #rstats community. Most recently, she has reviewed packages for rOpenSci and helped to co-organizer the first Chicago R unconference and the inaugural satRday Chicago conference.

Previously, Emily earned degrees Mathematics and Statistics / OR at the University of North Carolina at Chapel Hill. During her studies, she focused on healthcare analytics as a research assistant in emergency department discrete event simulation and a student consultant for a large managed healthcare provider.


3:30pm–4:10pm Thursday, 09/13/2018
Location: 1A 08 Level: Non-technical
Secondary topics:  Financial Services
Emily Riederer (Capital One)
Emily Riederer explains how best practices from data science, open source, and open science can solve common business pain points. Using a case example from Capital One, Emily illustrates how designing empathetic analytical tools and fostering a vibrant InnerSource community are keys to developing reproducible and extensible business analysis. Read more.