Adam S.
About Adam S.
Adam S. is a Data Scientist with extensive experience in research and analytics, currently working at Gray Matter Analytics since 2018. His previous roles include positions at VenueMatch LLC, UL, and University of Chicago Medicine, among others.
Current Role at Gray Matter Analytics
Adam S. has been working as a Data Scientist at Gray Matter Analytics since 2018. In this role, he applies his expertise in data analysis and modeling to support various projects within the organization. His position involves utilizing advanced analytical techniques to derive insights from data, contributing to the company's objectives in the Greater Chicago Area.
Previous Experience at VenueMatch LLC
Adam S. served as the Analytic Lead at VenueMatch LLC from 2015 to 2016. During his tenure in Chicago, Illinois, he was responsible for leading analytics initiatives that supported the company's operations. His work involved analyzing data to enhance decision-making processes and improve overall performance.
Research Experience at The University of Chicago
Adam S. has extensive research experience at The University of Chicago. He worked as a Research Assistant in the Prendergast Lab at The Institute of Mind and Biology from 2011 to 2012. He later served as a Research Specialist in the Department of Endocrinology at the Favus Lab: Bone Program from 2013 to 2015. His roles involved conducting experiments and analyzing data to support various research projects.
Educational Background in Neuroendocrinology
Adam S. earned a Bachelor of Arts degree in Neuroendocrinology from the University of Chicago. His academic background provided him with a solid foundation in the biological sciences, which he has applied throughout his career in data science and research. Additionally, he completed Accelerated Spanish Language and Culture Studies at Fundación Ortega - Marañón.
Experience in Data Engineering and Analysis
Prior to his current role, Adam S. worked in various positions that involved data engineering and analysis. He was a Data Engineer at Oak Street Health from 2017 to 2018 and a Data Scientist at UL from 2016 to 2017. These roles allowed him to develop skills in data management and analytics, further enhancing his capabilities in the field.