Greg J.
About Greg J.
Greg J. serves as the VP of Engineering, AI at Anaconda, Inc., where he focuses on integrating machine learning and AI with data visualization and operations research. He has a diverse background in software engineering and data science, having previously co-founded DataWhys and held a senior associate position at Booz Allen Hamilton.
Work at Anaconda
Greg J. currently serves as the Vice President of Engineering, AI at Anaconda, Inc., a position he has held since 2024. He is based in the Austin, Texas Metropolitan Area and works remotely. Prior to this role, he was the Director of Engineering at Anaconda, where he focused on integrating machine learning and AI with data visualization and operations research to develop business solutions.
Previous Experience at DataWhys
Before joining Anaconda, Greg J. co-founded DataWhys, where he served as Chief Technology Officer from 2014 to 2022. During his eight years at DataWhys, he contributed to the company's technological direction and product development, leveraging his expertise in software engineering and data science.
Experience at Booz Allen Hamilton
Greg J. worked at Booz Allen Hamilton as a Senior Associate from 2004 to 2011. His seven years at the firm involved various projects that utilized his skills in software engineering and data analysis, contributing to the firm's consulting services.
Education and Expertise
Greg J. holds a Master of Engineering degree in Materials Science & Engineering from the University of Virginia, where he studied from 2001 to 2004. He also earned a Bachelor of Science degree with a double major in Physics and Chemistry from Longwood University, studying there from 1999 to 2001. His educational background supports his strong focus on integrating machine learning and AI with data visualization and operations research.
Background in Software Engineering and Data Science
Greg J. has a comprehensive background in both software engineering and data science. His work emphasizes creating business value through the application of advanced technologies, particularly in the fields of machine learning and AI. This dual expertise enables him to develop innovative solutions that address complex business challenges.