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Jamie C. has a diverse work experience that spans various industries. From 2013 to 2016, they gained valuable experience in the oil and gas industry as a Plant Computing Intern at ExxonMobil and as a Market Broking Insight at Gallagher. In 2017, Jamie worked as an Analyst at GFT Group and as an Associate Consultant at Imperial Consulting Group, where they developed strategies and algorithms for quantifying need and worked with a group of associates for a charity project. From 2018 to 2020, Jamie worked as a Management Consultant at Newton Europe. Most recently, they have been working at Datatonic since 2020, starting as a Business Analyst and progressing to roles including Engagement Lead/Senior BA, Senior Strategy & Practice Lead (MLOps), Principal Strategy & Practice Lead (MLOps), and currently, as the Director of Machine Learning Practice, responsible for the strategic and operational performance of machine learning solutions. The summary showcases Jamie's growth and expertise in the field of machine learning and demonstrates their ability to excel in different roles and industries.

Jamie C. attended Imperial College London from 2014 to 2018, where they earned a degree in Chemical Engineering (1st). Prior to attending Imperial College London, Jamie C. attended Steyning Grammar School, where they achieved A*A*AA in Mathematics, Chemistry, Further Mathematics, and Physics.