Gareth Lavery
About Gareth Lavery
Gareth Lavery is a Data Scientist and kdb+ Developer at Kx Systems, a division of First Derivatives plc, with over seven years of experience in data analytics. He holds a Master of Science in Mathematics from Queen's University Belfast and has worked across various sectors, including finance and healthcare.
Work at Kx Systems
Gareth Lavery has been employed at Kx Systems, a division of First Derivatives plc, since 2017. In his role as a kdb+ Developer, he works in Newry, Northern Ireland. His responsibilities include integrating q scripting and kdb+ technologies to address big data challenges across various industries, including finance, telecom, utility, manufacturing, healthcare, and space. His work focuses on leveraging kdb+ to solve complex data problems, contributing to the advancement of data science within the organization.
Education and Expertise
Gareth Lavery studied at Queen's University Belfast, where he earned a Master in Science (MSci) in Mathematics from 2012 to 2017. He also participated in the Study USA Programme through the British Council at the University of Tulsa from 2015 to 2016, focusing on General Business. His foundational education includes attending St. Patrick's Grammar School in Armagh, where he completed his A Levels from 2005 to 2012.
Previous Work Experience
Before his current role, Gareth Lavery held several positions that contributed to his professional development. He worked as a Shift Supervisor at SPAR UK in Lurgan, Armagh, from 2016 to 2017. Prior to that, he served as a sales assistant at SPAR UK from 2012 to 2015. Additionally, he worked at the University of Tulsa as fitness center staff during 2015 to 2016 and briefly as a Christmas processing post person for Royal Mail in 2011.
Current Location and Work Arrangement
Gareth Lavery currently operates from Toronto, Ontario, Canada, while maintaining his position at First Derivatives in Newry, Northern Ireland. This arrangement allows him to engage with diverse markets and industries, enhancing his ability to address complex data challenges through innovative solutions.