John T.
About John T.
John T. is the Director at Maximus, with extensive experience in technology and systems analysis, and a strong focus on machine and deep learning.
Current Role at Maximus
John T. currently holds the position of Director at Maximus, a role he has been in since 2022. As Director, he focuses on integrating technology and data learning to optimize process execution and enhance knowledge discovery. His role involves significant project and program management, with a strong emphasis on machine and deep learning.
Previous Experience at Maximus
Before becoming Director, John T. served as Senior Manager, Technology at Maximus from 2020 to 2022. In this role, he was responsible for overseeing technology operations and ensuring the seamless integration of tech solutions within the organization. His work contributed to the company's advancements in technology and data-driven decision-making processes.
Experience in Systems Analysis and Software Development
John T. has extensive experience in systems analysis and software development. He worked as a Software Developer at the University of Iowa Roy J. and Lucille A. Carver College of Medicine for a brief period in 2016. Additionally, he held the role of Sr. Systems Analyst at General Dynamics Information Technology for seven years, from 2013 to 2020. His expertise in infrastructure and systems analysis has been a key factor in his professional contributions.
Educational Background
John T. obtained a Master of Science in Analytics from Georgia Institute of Technology, although the years of study are erroneously listed in the data. He also holds a Master of Computer Science from the University of Iowa, completed between 2015 and 2018, and a Bachelor's degree in Computer Engineering from the University of Louisville, awarded in 2013. His academic background has provided a solid foundation for his expertise in technology and analytics.
Professional Focus and Expertise
John T. specializes in infrastructure and systems analysis, with a focus on integrating technology and data learning in organizational processes. He has a significant background in project and program management, emphasizing machine and deep learning. His approach involves leveraging technology to enhance process execution and facilitate continuous discovery and learning within the tech field.