Emmanuel Ibidunmoye
About Emmanuel Ibidunmoye
Emmanuel Ibidunmoye is a Principal Developer specializing in Machine Learning at Kinaxis in Ottawa, Ontario, Canada. He has an extensive background in data science and engineering, with previous roles at notable organizations including IBM and Loblaw Companies Limited, and holds a PhD in Computing Science from Umeå University.
Work at Kinaxis
Emmanuel Ibidunmoye serves as a Principal Developer in Machine Learning at Kinaxis, a position he has held since 2022. In this role, he focuses on developing advanced machine learning solutions that enhance supply chain management processes. His responsibilities include collaborating with cross-functional teams to implement data-driven strategies and ensuring the delivery of high-quality technical solutions.
Previous Experience in Data Science
Prior to joining Kinaxis, Emmanuel worked at Loblaw Companies Limited as a Senior Solutions Engineer in Data Science from 2021 to 2022. He also held the position of Managing Consultant in Data Science & Engineering at IBM from 2018 to 2021. His experience includes managing technical teams and delivering data science projects that align with business objectives.
Academic Background
Emmanuel Ibidunmoye studied at the Federal University of Technology Akure, where he earned a Bachelor of Technology (B.Tech) in Computer Science from 2005 to 2009 and a Master of Technology (M.Tech) in Computer Science from 2011 to 2012. He furthered his education at Umeå University, obtaining a Doctor of Philosophy (PhD) in Computing Science, with a focus on Distributed Computing & Performance Analytics, from 2013 to 2017.
Research and Teaching Experience
Emmanuel served as an Assistant Lecturer in Computer Science at the Federal University of Technology Akure from 2011 to 2013. He also worked as a Postdoctoral Fellow in Data Analysis for Distributed Systems at Umeå University from 2013 to 2018. His roles involved teaching, mentoring students, and conducting research in data analysis and distributed systems.
Technical Skills and Leadership
Emmanuel has extensive experience in managing high-performing technical teams and stakeholders in data science and engineering projects. He has supported Go-To-Market teams by identifying opportunities, planning roadmaps, and developing proposals. His leadership skills include recruiting and coaching employees to foster professional growth within technical environments.