Jordan Waters
About Jordan Waters
Jordan Waters is an Application Support Engineer at MessageGears in Atlanta, Georgia, where he has worked since 2020. His career focuses on developing user-friendly data interfaces and supporting hypotheses with data, drawing on a background in microbiology and data science.
Work at MessageGears
Jordan Waters has been employed at MessageGears as an Application Support Engineer since 2020. In this role, he focuses on providing technical support and ensuring the smooth operation of applications. His work is centered in Atlanta, Georgia, where he has contributed to the company's mission of delivering effective data solutions.
Previous Experience in Technology
Before joining MessageGears, Jordan Waters held several positions in the technology sector. He served as Chief Technology Officer at OrderWrite from 2019 to 2020, where he oversaw technology strategy and implementation. He briefly worked as a Technical Consultant at OrderWrite in 2020 for two months, providing specialized technical advice. Additionally, he worked as a Data Scientist and Junior Developer at Hickory from 2017 to 2019, focusing on data-driven projects.
Background in Microbiology
Jordan Waters has a strong background in microbiology, having worked as a Microbiologist at the Centers for Disease Control and Prevention from 2007 to 2013. His academic foundation includes a Bachelor of Science in Microbiology from Auburn University, where he studied from 2002 to 2007. This experience has informed his approach to data analysis and application development.
Education and Expertise
Jordan Waters earned a Bachelor of Science in Microbiology from Auburn University, completing his studies from 2002 to 2007. He further enhanced his skills by studying Data Science at the New York Data Science Academy. His educational background supports his professional goal of using data to support hypotheses and create user-friendly data interfaces.
Career Focus and Goals
Jordan Waters is dedicated to building unique and user-friendly data interfaces through modern web technologies. His career is centered around creating thorough, efficient, and reinforced data solutions. He aims to support hypotheses with data, reflecting his commitment to data-driven decision-making in his professional endeavors.