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Jeremy Curmi has a diverse work experience spanning multiple industries. Jeremy started their career as a Statistician at PKF Malta in March 2015 and worked there until September 2016. In July 2017, they interned as a Statistics Intern at the National Statistics Office of Malta. In the same year, they also served as a Research Assistant at the University of Malta from July to December 2017. In 2018, they worked as a Teacher Assistant at the University of Malta from March to May, while pursuing their post-graduate studies from September 2017 to March 2019.

In 2019, Jeremy joined Gaming Innovation Group as a Business Analyst from May 2019 to February 2020. Jeremy then moved on to Betsson Group, where they served as a Business Analyst from March to August 2020. From August 2020 to January 2022, Jeremy worked as a Data Scientist at Fast Track. Jeremy then transitioned to Altada Technology Solutions, where they held the role of a Machine Learning Engineer from February to August 2022. As of the provided information, Jeremy is currently employed as a Software Engineer at Fast Track from August 2022 onwards. Overall, their experience spans roles in data analysis, statistics, teaching, and various technical positions in the field of software engineering and machine learning.

Jeremy Curmi has a strong educational background in mathematics and statistics. Jeremy obtained a Bachelor of Science degree in Mathematics and Statistics and Operations Research from the University of Malta, which they attended from 2013 to 2017. Jeremy then pursued a Master of Science degree in Mathematics at the same university from 2017 to 2019.

In addition to their formal education, Jeremy has also obtained several certifications to enhance their skills and knowledge. Jeremy completed courses such as "Software Architecture & Design of Modern Large Scale Systems" and "Unit, integration and functional Testing in Golang (Go)" from Udemy in 2023 and 2022 respectively. Jeremy also completed courses in cloud computing and machine learning through Coursera, including "Cloud Computing Foundations," "Machine Learning Data Lifecycle in Production," "Introduction to Machine Learning in Production," and "Practical Predictive Analytics: Models and Methods."

Overall, Jeremy Curmi has a solid educational background in mathematics and statistics and has pursued additional certifications to expand their knowledge in various fields such as software architecture, testing, cloud computing, and machine learning.