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Rachel Poulsen

Rachel Poulsen
Data Scientist, Silicon Valley Data Science

Rachel is a Data Scientist for Silicon Valley Data Science with a focus in Statistics and Communication. She has worked for American Express and TiVo and held the roles of Sr. Statistical Analyst and Analytics Product Manager. In her career, she has applied statistical techniques such as Statistical Process Control, Hierarchical and K-means Clustering, Principal Components, Logistic and Linear Regression, and Survival Analysis. At American Express, she used generalized additive models to optimize ROI for varying marketing campaigns. While at TiVo, she worked on projects benchmarking models for Ad Click Thru Rates, improving their Recommender system, analyzing patterns of user behavior, and building a monitoring system for measuring software responsiveness and detecting regressions. Rachel has a Master’s degree in Statistics, and a Bachelor’s in Mathematics and Communications.

Sessions

Hadoop and Beyond
GA Ballroom J
Rachel Poulsen (Silicon Valley Data Science), John Akred (Silicon Valley Data Science)
Average rating: ***..
(3.43, 7 ratings)
Design of Experiments (DOE) is a scientific approach to understanding causality using data collection and applied statistical techniques. Through a series of relevant case studies, this session will review the “design” and the “experiment” side of DOE, including systematic data collection and basic statistical applications, and discuss relevant applications beyond A/B testing websites. Read more.
Office Hour
Table C
Rachel Poulsen (Silicon Valley Data Science)
If you’re a manager trying to understand your data scientist—or a data scientist trying to get through to your manager—you need to meet Rachel. A data geek with a background in both stats and communications, she can help bridge the divide. Visit with Rachel to talk about things like statistics for dummies, experimental design, and A/B testing. Read more.