Murray Keogh

Data Scientist @ Coriell Life Sciences

About Murray Keogh

Murray Keogh is a Data Scientist with a Master's degree in Health Data Science from UNSW. He has extensive experience in business intelligence and data science roles across various organizations, including UC San Diego Health and Verizon Wireless, and currently works at Coriell Life Sciences.

Current Role at Coriell Life Sciences

Murray Keogh currently serves as a Data Scientist at Coriell Life Sciences, a position he has held since 2021. In this role, he focuses on the application of data science techniques to enhance population health. His work involves utilizing data analytics to inform health system operations and improve health outcomes.

Previous Experience in Data Science

Before joining Coriell Life Sciences, Murray Keogh worked as a Data Scientist at Verizon Wireless from 2014 to 2016. He also held the position of Business Intelligence Specialist at UC San Diego Health for five years, from 2016 to 2021. His experience in these roles contributed to his expertise in data analysis and business intelligence.

Education and Expertise

Murray Keogh obtained a Bachelor of Science in Operations Research Engineering from Cornell University, where he studied from 2010 to 2014. He furthered his education by earning a Master’s degree in Health Data Science from UNSW, completing the program from 2020 to 2021. Additionally, he received a Lean Six Sigma Black Belt Certificate from UC San Diego Extension in 2017.

Internship and Early Career

Murray Keogh began his professional journey with an internship at Cornell University in 2013, where he worked as a Business Intelligence Intern for three months. He also held a position in Data Management at Cornell University for seven months in the same year, gaining foundational experience in data handling and analysis.

Interests in Health Data Science

Murray Keogh has a keen interest in applying machine learning and statistical methods to enhance health system operations. His focus on improving health outcomes through data science reflects his commitment to leveraging technology in the healthcare sector.

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