Accelerate Your Data Science Career

David Kressley, a current MBA candidate at American University, has a background in Business Administration and Economics. His strengths lie in the ability to bridge the communication gap between technical and business-minded individuals. He is passionate about using Data Science to solve practical problems that improve the quality of life.

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.

Jay Lee has been a life-long marketing expert specialized in quantitative analysis. He has taught various marketing classes at Purdue Univeristy Krannert School of Management and have worked in several companies, Korea Telecom, Samsung Electronics, and dunnhumby, as a marketing analyst. At Korea Telecom, his main roles as an entry level marketing researcher were to forecast sales and traffic of communication services and analyze data for CRM or more than 20 million consumers. After his first job, Jay Lee decided to expand his knowledge in marketing by joining the Ph.D. program at Purdue University Krannert School of Management. Once graduating he joined Samsung Electronics as a senior marketing manager. During Samsung, he conducted marketing intelligence and forecasted sales for mobile markets such as smartphones and tablets. Furthermore, monitored consumer analytics of these mobile products. Following the role at Samsung, he joined dunnhumby as a senior data solution analyst. At dunnhumby, he analyzed consumer transaction data for retailer industry, implemented schemes for consumer retention and loyalty programs, and provided client solutions for big data analyses.