Mark Martinez is a data scientist / data engineer at Jackpocket. He graduated from Harvard in 2014 with a bachelor’s degree in Applied Math and Biology and from Princeton with a masters degree in Computer Science, with an emphasis on computer vision. At Princeton he did research on self-driving cars, and worked specifically on how to create virtual environments used to test and train algorithms used for lane detection and driving. He worked as a data scientist with Johnson and Johnson from 2014-2016 and as a software developer with Square from 2018-2020.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
