Sign In

Kevin Otte

Senior Data Scientist, Experimentation at Coinbase

Kevin Otte is an experienced data scientist with over 8 years of experience in various data science functions. Currently employed as a Senior Data Scientist at Coinbase, focusing on Payments Risk, he is involved in building machine learning models to enhance operational efficiency and designing intricate experiments to measure impact. His collaboration with the experimentation team aids in the enhancement and implementation of statistical methodologies like propensity score matching and nonparametric testing. Prior to his role at Coinbase, Kevin worked at Pinterest, contributing to the Trust and Safety team by enhancing content detection and removal processes.

Kevin earned his Master of Science in Statistics from Texas A&M University, which provided him exposure to a wide array of methodologies for practical applications such as financial engineering, time series analysis, and predictive modeling. Outside of work, he enjoys engaging in python coding, playing soccer, and expanding his knowledge in network analysis and deep learning applications.

His professional competencies include expertise in ML techniques, data analysis, Bayesian and Frequentist statistical methods, time series forecasting, NLP, experimentation, Hive/Presto, Python/R programming, working with APIs, and various SQL languages. Kevin is also open to offering career advice and consulting services, reachable via email at [email protected].

Kevin Otte
Add to my network

Location

San Francisco, California, United States