Benjamin S. Stan

703-***-**** adjlyf@r.postjobfree.com

EXPERIENCE

Lyft Seattle, WA

Data Scientist, Mapping Apr 2018 - May 2020

● Modified real time traffic algorithm to filter live data and improve accuracy of modeled speeds by 10%

● Created method to compare predicted route v. actual route; first metric of routing system error

● Developed model to predict routing accuracy from route meta features, such as turns and road types

● Designed and implemented new ETA model training set, leading to 2.5% error reduction

● Created library to visualize geospatial data for purpose of debugging map issues on Lyft rides Data Scientist, Shared Rides Jul 2016 – Apr 2018

● Identified impact of ETA on passenger cancels, resulting in model changes and 2% cancel reduction

● Defined service areas for Lyft Shared in Portland and Nashville based on performance simulations

● Utilized Google Maps API to correlate map polyline complexity to passenger cancel behaviors

● Analyzed 50+ product tests with bootstrapping methods, resulting in the launch of 25+ features

● Modified database (ETL) to improve processing time by up to 40% and simplify access to insights Google Mountain View, CA

Data Analyst, Google Cloud Nov 2013 – Jun 2016

● Developed model to predict conversion likelihood for customers entering through online channel

● Created first model to associate use of an individual application to customer lifetime value

● Designed and analyzed adoption experiment that showed sustained uptick of 3% to product use

● Compiled customer support data into team dashboard, resulting in a 75% decrease in reporting time

● Conducted 15 usability studies on product signup process, leading to three (3) changes to UI 21212 Digital Accelerator Rio de Janeiro, Brazil

Business Analyst Intern May – Sep 2013

● Managed portfolio of 17 startups, revising company pitches and site interfaces for investor pitches

● Created investor materials incorporating market research for four companies, resulting in 25+ leads

● Implemented unified analytics dashboard, allowing for monitoring of key metrics across companies EDUCATION

University of Washington Seattle, WA

Master of Science in Biostatistics Sep 2020 – Present Coursework: Biostatistics, Statistical Inference, Foundations of Public Health for Biostatistics General Assembly San Francisco, CA

Data Science Program Jan – Apr 2016

Methods: Logistic regression, K-nearest neighbors, Random forest, Gradient boosting, PCA, NLP Duke University Durham, NC

Bachelor of Science in Biomedical Engineering Class of 2013 Coursework: Linear Algebra, Computational Methods in Engineering, Probability and Statistics Honors: Dean’s List (5/8 semesters), Inova Hospital System Scholarship, AFCEA DC Scholarship SKILLS AND INTERESTS

● Technical:SQL, Python (Pandas, NumPy, SciKit-Learn, Shapely), R, Spark, Airflow, Matlab

● Languages:English (Fluent), Chinese (Native, Proficient), Portuguese (Basic)

● Interests:Ultimate frisbee player, Skier, Music enthusiast, Hiker, Rock climber, Certified scuba diver

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