Samuel Hansen Email & Phone Number

Seattle, WA, US

Network Engineering, Scheduling & Technology | Supply Chain Optimization

San Francisco, CA, US

• Member of Core Data Science team:
• Led improvements to Yelp’s experimentation platform to enable faster decision-making in A/B tests; e.g.: scaling solutions for multiple comparisons corrections (to control false positives), automated power-analysis (to.
• Implemented sequential testing on Yelp's experimentation platform to allow continuous monitoring of feature releases, increasing time-to-deployment by 2 weeks per experiment.
• Created Yelp Experimentation University, a company-wide training program on best practices in designing experiments, interpreting results, and making ship-it decisions (50+ enrollees; 9.2/10 NPS score).
• Built and maintain Yelp's first R package (yelpR) that provides connections to SQL data stores, custom querying functions, and Yelp ggplot2 themes; decreasing toolkit onboarding time by 2X.
• Co-created the Yelp Economic Average, the "DOW Jones of small business data," featured in VentureBeat and Business Insider (https://venturebeat.com/2019/01/30/yelp-wants-to-start-measuring-the-health-of-the-u-s-economy/.

San Francisco, CA, US

• Developed pipeline to predict Yelp Transactions Platform user retention by scripting SQL queries, engineering longitudinal features, and implementing machine learning classifiers, lifting AUC 10% over the baseline model.
• Constructed behavioral segmentation of Yelp Transactions Platform users to understand food-ordering patterns with K-means and factor analysis, primarily identifying user clusters using mealtime, delivery type, and food.
• Built RShiny application with interactive geographical map of spatial-temporal changes in Yelp activity.

• Co-taught the Stanford Data Challenge Lab with Hadley Wickham and Bill Behrman, a 10-week class for best coding practices in R, including data wrangling (dplyr), visualization (ggplot2), and modeling (caret, modelr).
• Mentored 20 students in daily code reviews; received a student performance rating of 4.8/5.

• Created a six-month mortality prediction tool to aid shared decision-making for end-of-life care.
• Directed a cross-functional team to redesign the machine learning algorithm of the Patient Reported Outcome Mortality Prediction Tool using gradient boosting machines and random forest models, achieving 55% lift in.
• Communicated feature importance to help physicians better identify patients eligible for hospice care.

Stanford, CA, US

• Taught weekly sections for Symbolic Systems 100: Minds and Machines, a core course in cognitive science and artificial intelligence in the Symbolic Systems Program.
• Designed course materials related to behavioral economics and decision theory.

Berlin, DE

• Implemented a Markov-chain clickstream visualization tool to understand user behaviors in client data.
• Conducted eye-tracking studies on consumer focus groups to optimize user click-through rates.

The Symbiotic Project on Affective Neuroscience is a neuroimaging lab at Stanford that investigates the neural basis of decision-making. I helped conduct experiments using functional magnetic resonance imaging (fMRI) and analyzed neural data. Projects on which I collaborated include: 1. investigating how brain activity from a “neural focus group” predicts.

Stanford, CA, US

• Led a team of students and faculty to deliver a wide range of opportunities to the economics community at Stanford, including bimonthly economics roundtable discussions, faculty lunches, mentorship programs, alumni.
• Organized Stanford’s first-ever neuroeconomics symposium at the Stanford Institute for Economic Policy Research (SIEPR), which included 300 attendees, 10 speakers, and 5 consumer neuroscience firms.

New York, NY, US

• Developed online marketing strategies and web campaigns on Weibo.com and Babytree.com.
• Conducted market research for international brands entering the nutrition and fashion sectors in China.

Master Of Science (M.S.), Management Science & Engineering

Bachelor Of Science (Bs), Neuroeconomics And Symbolic Systems