Cormac Rynne
About Cormac Rynne
Cormac Rynne is a Machine Learning Scientist III at Expedia Group in London, with a diverse background in data science, engineering, and finance.
Company
Cormac Rynne currently works at Expedia Group as a Machine Learning Scientist III. His role at the company started in 2022 and he operates out of London, England, United Kingdom.
Title
Cormac Rynne holds the title of Machine Learning Scientist III at Expedia Group. His expertise encompasses various aspects of machine learning, data analysis, and AI-driven solutions.
Career Background
Previously, Cormac Rynne worked at Samsung Ads, where he served as Data Innovation Manager for 8 months from 2021 to 2022, and as a Data Scientist from 2020 to 2021 in the London, England Metropolitan Area. Before Samsung Ads, he worked at Currys plc as a Data Scientist for 9 months from 2019 to 2020, and as an Online Marketing Analyst for 6 months from 2018 to 2019. His experience also includes roles at Bridgeway Consulting Ltd as Controller of Site Safety from 2016 to 2018 and as a Graduate Engineer from 2014 to 2016, and at H2O Trading as a Graduate Trader for 6 months from 2013 to 2014. He began his career as an Engineering Assistant at BAM Nuttall Ltd from 2011 to 2012.
Education and Expertise
Cormac Rynne has a comprehensive educational background in both engineering and artificial intelligence. He earned a Master’s degree in Artificial Intelligence from King’s College London in 2021 and a Bachelor of Engineering (BEng) degree in Civil Engineering from Kingston University in 2013. Rynne also completed CFA Level 1 and Level 2 exams through the CFA Institute, reflecting a strong foundation in financial analysis. His early education included studies in Maths, Further Maths, Physics, and Computing at Harvey Grammar School, achieving GCSEs and A Levels.
Technical Skills and Interests
Cormac Rynne is skilled in using Jupyter notebooks to tackle complex data reconciliation tasks. His passion for solving challenging problems has consistently driven his career in machine learning. In his personal time, Rynne enjoys engaging in outdoor activities, including cycling, hiking, and exploring the wilderness.