ÂÜÀòÂÒÂ×

Murray Keogh is a seasoned data scientist with extensive experience in various roles since 2013, currently working at Mindoula since June 2024. Prior to this position, Murray served as a data scientist at Coriell Life Sciences from September 2021 to June 2024, where a predictive model for medication risk level was built and deployed. Murray has also contributed to UC San Diego Health as a business intelligence specialist from February 2016 to February 2021, assisting senior management in data analytics to enhance revenue and patient care. Earlier experience includes developing analytical solutions at Verizon Wireless, focusing on revenue opportunities, and an internship at Cornell University in business intelligence. Murray holds a Master's degree in Health Data Science from UNSW, a Lean Six Sigma Black Belt certificate from UC San Diego Extended Studies, and a Bachelor of Science in Operations Research Engineering from Cornell University.