Emily Riederer
Featured in this episode
I love connecting people across the data science community to share what they're accomplishing with data and help others do the same through community discussions, industry meetups, and more.
Emily is a senior manager at Capital One where she has built and led a variety focused on all parts of the data science lifecycle -- from strategy and analytics, data infrastructure and reproducible innersource tools, and model development. These diverse roles have made her particularly passionate about how parts of the data lifecycle interact -- for example: how breaking data silos can enable causal inference methods or more efficient data pipelining can unlock creativity in model feature engineering. Outside of work, Emily is a passionate part of the R community.
