Iman Makaremi
About Iman Makaremi
Iman Makaremi is the Director of Data Science at MacroHealth, where he has worked since 2022. He has a strong background in data science, having held various positions at Splunk and other organizations, and holds a PhD from the University of Windsor.
Current Role at MacroHealth
Iman Makaremi serves as the Director of Data Science at MacroHealth, a position he has held since 2022. In this role, he oversees data science initiatives and leads a team focused on leveraging data to drive business decisions. His expertise in data analysis and machine learning contributes to the company's strategic goals in the healthcare sector.
Previous Experience at Splunk
Prior to his current role, Iman Makaremi worked at Splunk in various capacities. He was a Senior Data Scientist from 2015 to 2018, followed by a brief tenure as Principal Data Scientist for five months in 2018. He later transitioned to the role of Principal Product Manager, where he worked from 2018 to 2020. His experience at Splunk involved developing data-driven solutions and managing product strategies.
Educational Background
Iman Makaremi holds a PhD from the University of Windsor, which he completed between 2007 and 2011. He also earned an MSc from KN Toosi University of Technology in Tehran from 2004 to 2007. Additionally, he obtained a BSc from the University of Tehran, studying from 2000 to 2004. His educational background provides a strong foundation in data science and analytics.
Research and Academic Roles
Iman Makaremi has held several academic positions. He was a Post Doctoral Fellow at the University of Windsor for four months in 2012. He also served as a Research Assistant and PhD Student at the same institution from 2007 to 2012. These roles involved conducting research in data science and machine learning, contributing to academic publications and projects.
Experience in Machine Learning and Data Science
Before joining MacroHealth, Iman Makaremi worked as a Machine Learning Scientist at INETCO from 2012 to 2014 and as a Data Scientist at Metafor Software for eight months in 2014-2015. His roles in these companies involved applying machine learning techniques to solve complex data problems, enhancing his expertise in the field.