Conor Lavery
About Conor Lavery
Conor Lavery is a Data Scientist currently employed at First Derivatives since 2021. He has previous experience as a Data Scientist Intern at the School of Physics NUI Galway and held various roles at LacPatrick Dairies Ltd from 2013 to 2018.
Work at First Derivatives
Conor Lavery has been employed as a Data Scientist at First Derivatives since 2021. In this role, he applies data analysis and modeling techniques to support various projects within the organization. His work focuses on leveraging data to drive insights and improve decision-making processes. First Derivatives is known for its expertise in financial technology and data analytics, providing a dynamic environment for data professionals.
Previous Experience in Data Science
Prior to his current position, Conor Lavery worked as a Data Scientist Intern at the School of Physics, NUI Galway in 2019. This internship lasted for two months and provided him with practical experience in data analysis within an academic setting. His role involved working on projects that required analytical skills and a strong understanding of data science principles.
Career at LacPatrick Dairies Ltd
Conor Lavery held multiple roles at LacPatrick Dairies Ltd from 2013 to 2018. He served as an Administrative Coordinator, Production Operator, and Maintenance Coordinator during his five-year tenure. These positions allowed him to gain a diverse skill set in operations and management within the dairy industry. His experience at LacPatrick Dairies contributed to his professional development before transitioning to a career in data science.
Education in Theoretical Physics
Conor Lavery earned a Bachelor's degree in Theoretical Physics from the National University of Ireland, Galway, where he studied from 2016 to 2020. This academic background provided him with a strong foundation in analytical thinking and problem-solving, which are essential skills in data science. His education has equipped him with the theoretical knowledge necessary to approach complex data challenges.