- Founded and lead the experimentation platform (aka A/B testing) we use across the company. - Work with engineers, data scientists, and product managers to incorporate experimentation and optimization into their product development.- End-to-end ownership of experiment stack, including software and data engineering in Ruby, Scala, Spark, Flink, JavaScript/React, SQL, Python, SignalFX. Own multiple libraries and high-traffic services used in production.

- Design and implementation of Stripe's experimentation platform. Partnering with engineering teams and internal users to design the platform. We own: interface and analytics (JavaScript/React), randomization service (Scala), instrumentation pipelines (Spark, Ruby), and client/configuration (Ruby). - Built end-to-end systems to segment users. Integrations with third-party data providers (Python), data integration, Hadoop (Scalding/Scala) pipelines, analysis and reporting of results for sales and marketing decisions. Integrated segmentation into production sales lead routing pipeline (basic Ruby). - Built experiment framework for monitoring the user conversion funnel during staged rollouts (Python, Airflow). Based on survival analysis and non-inferiority tests implemented in Python.- Collaborated with ops engineers to build A/B testing tools. Wrote statistical calculations and reporting (JavaScript).- Ad hoc experimentation and analyses to support critical user-facing product changes.

- MS in Applied Economics program- Developed and taught course Ec626 Experiments and Causal Inference- https://www.usfca.edu/faculty/kyle-carlson

Audience metrics, user lifetime value, causal effects of international initiatives

Behavioral economics research | Applied microeconomics | Experiments

Center for Behavioral Economics and Decisionmaking- Worked for economists Lorenz Goette, Anat Bracha, and Julian Jamison.- Managed a telephone survey of 700+ subprime homeowners.- Ran and administered payments for experiments on competition and decision-making at the Harvard Decision Science Laboratory.- Analyzed data on economic games and sexually transmitted diseases from a randomized controlled trial in Tanzania.- Copy-edited the research department's working paper series with Suzanne Lorant.- Storyboarded animations and prototyped chloropleth maps for data visualizations on mortgage defaults and income mobility.

Department of Econometrics and Political Economy- Programmed cognitive tasks for an experiment on brain-training.- Managed daily software updates, data collection, subject compliance, and hardware for 2 training labs over the course of the 2 month experiment.- Analyzed effects of training on cognitive performance and economic preferences (risk, time, and social).

Department of Economics, Methodist Le Bonheur Center for Healthcare Economics- Analyzed micro-data on emergency room visits to determine whether insurance type influences the frequency of avoidable visits to the ER.