Conor Mc Cann
About Conor Mc Cann
Conor Mc Cann is a data scientist with a background in physics and astrophysics, holding a Bachelor's degree from Trinity College Dublin. He has worked at Kx and First Derivatives since 2018 and possesses skills in programming languages such as q and Python.
Work at Kx and First Derivatives
Conor Mc Cann has been employed at Kx, a division of First Derivatives plc, since 2018. In his role as a kdb+ engineer, he has contributed to the development and implementation of data solutions. Concurrently, he serves as a Data Scientist at First Derivatives, where he applies his analytical skills to derive insights from complex data sets. His work spans various projects that leverage advanced data processing techniques.
Education and Expertise
Conor Mc Cann studied at Trinity College Dublin, where he earned a Bachelor’s Degree in Physics and Astrophysics from 2014 to 2018. His academic background provides a strong foundation in quantitative analysis and problem-solving. He is proficient in programming languages such as q and Python, along with skills in bash shell scripting and Unix navigation, which enhance his capabilities in data science and engineering.
Background in Retail
Before entering the field of data science, Conor Mc Cann gained experience in the retail sector at B&Q in Newry, Northern Ireland. He worked as a Sales Advisor from 2014 to 2016, followed by a role as a Cash Office Clerk for three months in 2016. He then served as a Front End Supervisor from 2016 to 2018, where he developed customer service and team management skills.
Research Experience
Conor Mc Cann completed a 9-week research project at the Space Research Institute of the Austrian Academy of Sciences. This project focused on computationally modeling the transit light curves of exoplanets, showcasing his ability to engage in scientific research and apply analytical techniques in astrophysics.