Matthew May is a skilled and experienced data scientist who has an extensive background working with various forms of data, particularly time series telemetry, sensor, and machine logs. He is proficient in deploying models and data pipelines using CI/CD principles and serverless and containerization for various projects. He also has a proven track record of mentoring teams that drive product development with advanced analytic and machine learning solutions, making them core product components. Matthew earned a Master's degree in Data Science and a Bachelor's Degree in Physics at the University of the Pacific and the University of Nevada-Reno, respectively. Additionally, he studied Outdoor Recreation Leadership at Feather River Community College District and completed Galvanize's Data Science and Machine Learning fellowship.

Matthew has demonstrated strong people skills, shown by his ability to engage and supervise individuals from diverse backgrounds and cultures on various teams. He currently works as a Senior Data Scientist at Bottomline Technologies and has previously held positions such as Lead Data Scientist at URSA • UNMANNED • ROBOTICS • SYSTEMS • ANALYSIS, Data Analyst at ZapLabs, and Data Science Intern at TruSTAR Technology and Music Firsthand.

In his early career, he was a combat engineer in the US Army and worked as a raft guide for All-Outdoors California Whitewater Rafting. Professionally, he specializes in machine learning, data analysis, and data science, and has strong interests in serverless architecture, containerization, and CI/CD principles.