Data Scientist @ Data Scientist in Engagement Analytics at Facebook. From December 2013 to Present (2 years 1 month) Data Scientist @ Mobile Data Science team at LinkedIn • Created and currently maintain key metrics used by the Mobile team to monitor the health of the mobile business. I put these metrics together in an interactive dashboard that is reviewed weekly by the team leads. These reports include, but are not limited to: o International performance o Mobile Action metrics o Mobile metrics compared to total LinkedIn metrics • I completed a post launch analysis on a redesigned version of the iPhone and Android app to understand how upgrading to the new app changed member behavior, visit frequency, and actions they were taking. • I did international research to understand the coverage of our mobile products that are being used in different languages and countries. • I analyzed how members are using the iPhone and Android App when they come to the app organically versus through a push notification or an email. I did a product and action flow in order to understand what key actions were taken and what products members were touching based off of how they entered the app. From September 2012 to November 2013 (1 year 3 months) Marketing Analytics Manager @ I worked in a marketing analytics role supporting LinkedIn growth and engagement through marketing campaigns. I focused on discovering insights about our members that enabled the consumer facing team to improve the targeting and the content of our marketing campaigns. This involved researching member site behavior and measuring the downstream effects of marketing campaigns. I worked on ad-hoc data pulls, post-campaign analyses, member segmentation, and deep dive international marketing research From May 2012 to September 2012 (5 months) Mountain View, CAEmail Analytics Manager @ Manage and measure data driven, consumer facing campaigns that drive growth and engagement Analyze the targeting and segmentation of campaigns Report on campaign performance, down stream effects of campaigns, and A/B tests Optimized delivery times by testing and proving statistically significant higher click through rates for certain times of day and days of week in different time zones Pull and clean data for highly dynamic email campaigns, edit and create HTML for email campaigns Work cross-functionally to efficiently set up and execute highly dynamic campaigns From March 2011 to May 2012 (1 year 3 months) Marketing Analytics Intern @ Lifetime Modeling Project • Predicted customer lifetime using statistical modeling in order to increase revenue • Cleaned and manipulated a large data set in SQL and created a Cox Proportional Hazard model in R • Analyzed the accuracy of my model’s predictions using Kaplan Meier curves in comparison to a current look-up table method to show the advantage of my model Customer Lifetime Comparison • Compared the lifetime of airline credit card customers to other credit card customers to justify a discount for those who buy a policy with an airline credit card • Used Kaplan Meier curves to measure the lifetime of segmented groups • Justified a discount by showing an overall 15% longer lifetime of airline credit card customers over other credit card customers Data Analysis • Created Bernoulli residual offset models to predict customer conversion with and without external information and then compared the two processes From August 2010 to February 2011 (7 months) San Francisco Bay Area

Bachelor of Arts, Mathematics; Art Studio 2010 @ Colorado College From 2006 to 2010 The Branson School From 2002 to 2006 Sarah Tolman is skilled in: Data Analysis, Email Marketing, SQL, R, Hadoop, Apache Pig, Statistical Modeling, Excel, Marketing Strategy, Python, Hive, HTML, Mathematica, Fireworks, Data Science