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 accelerate test planning), early-warning system of guardrail metrics (to prevent loss).• 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 category.• 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) techniques.• 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 sensitivity from physicians’ baseline and 15% lift in AUC over the prior model.• 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 aggregate lending rates on microloan website Kiva.org.2. examining how the human brain mediates financial risk preferences when exposed to positive and negative olfactory stimuli.

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 workshops, policy forums, and an undergraduate economics journal. • 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