Collin Bennett
About Collin Bennett
Collin Bennett is a Data Analytics Engineer with extensive experience in the Greater Chicago Area, having worked for various companies including Open Data, The Climate Corporation, and Orbitz. He holds a BA and a BS from the University of Iowa and a MS from Loyola University Chicago, and has co-authored papers on advanced data analytics topics.
Current Role at Arity
Collin Bennett currently serves as a Data Analytics Engineer at Arity, where he has been employed since 2019. In this role, he focuses on expanding the data analytic platform to accommodate larger and more complex data sets. His work supports analytics in sectors such as insurance, advertising, and the sharing economy. Additionally, he leads the Community of Practice around Data Analytics Engineering, fostering collaboration and knowledge sharing among peers.
Previous Experience in Data Analytics
Before joining Arity, Collin Bennett held various positions that contributed to his expertise in data analytics. He worked at Open Data from 2012 to 2016 as a Partner and previously served as a Senior Member of the Technical Staff from 2008 to 2011. His tenure at The Climate Corporation as a Staff Engineer from 2017 to 2018 further solidified his experience in the field. Additionally, he was a Technical Lead at Orbitz from 2001 to 2006 and a Senior Associate in Product Development at Acquity Group from 2006 to 2008.
Educational Background
Collin Bennett has a strong academic foundation in his field. He earned a Bachelor of Arts (BA) and a Bachelor of Science (BS) from the University of Iowa. He further advanced his education by obtaining a Master of Science (MS) from Loyola University Chicago. He also studied at the University of Hull, enhancing his knowledge and skills relevant to data analytics and engineering.
Research Contributions
Collin Bennett has co-authored several papers that contribute to the academic discourse in data analytics and engineering. His research includes topics such as Weyl tensors, large data clouds, cloud-based analytic frameworks, and high-performance wide-area testbeds. These contributions reflect his engagement with both theoretical and practical aspects of data analytics.