Amir Homaie
About Amir Homaie
Amir Homaie is a Senior Data Scientist currently working at Intact in Toronto, Ontario, Canada. He has extensive experience in analytics, having previously held positions at RSA Canada and Air Canada, and holds multiple degrees in statistics and industrial engineering.
Work at Intact Financial Corporation
Amir Homaie has been employed at Intact Financial Corporation as a Senior Data Scientist since 2021. In this role, he applies his expertise in data analysis and statistical modeling to support the company's data-driven decision-making processes. His work contributes to enhancing operational efficiency and improving customer experiences within the organization.
Previous Experience at RSA Canada
Prior to his current position, Amir Homaie worked at RSA Canada for three years from 2018 to 2021. He held the role of Team Lead, Analytics, where he managed analytics projects and led a team focused on delivering insights. Before that, he served as a Senior Analyst, Analytics, from 2016 to 2018, contributing to various analytical initiatives.
Experience at Air Canada
Amir Homaie gained valuable experience at Air Canada, where he worked in two different roles. He served as an Advanced Analytics Manager from 2014 to 2016, overseeing advanced analytics projects. Earlier, he was an Analytics Intern from 2012 to 2013, where he assisted in data analysis and reporting tasks.
Education and Expertise
Amir Homaie has a strong academic background in statistics and engineering. He earned a Master of Science (M.Sc.) in Industrial Engineering from Université de Montréal - École polytechnique de Montréal, studying from 2011 to 2014. He also holds two Master of Science (M.Sc.) degrees in Mathematical Statistics and a Bachelor of Science (B.Sc.) in Statistics from Ferdowsi University of Mashhad, completed between 1999 and 2007.
Research Experience
In addition to his industry experience, Amir Homaie worked as a Research Assistant at Polytechnique Montréal in 2012 for four months. This role involved assisting in research projects, contributing to the academic community, and gaining practical experience in data analysis and research methodologies.