Ylan Kazi is the Vice President of Data Science and Machine Learning for UnitedHealthcare, where he leads a team of data scientists that apply machine learning to challenging healthcare business problems. In his role, he creates the strategy for how to apply machine learning to Medicare Part D and improve patient health outcomes. He guides his team on the creation of novel machine learning solutions for healthcare that will improve health outcomes for patients and increase ROI for the organization.
Ylan has held different analytical leadership positions in the past. These positions included working for Target, where he served as a manager of healthcare analytics; Accretive Health, where he served as a healthcare management consultant; and at Cerner, where he served as healthcare delivery consultant.
Ylan’s focus has always been leading analytical teams and helping organizations find the most value from their analytics. As analytics have evolved to using machine learning and deep learning, Ylan has stayed up-to-date on these trends, and experimented with ways to implement them for organizations. He blogs about machine learning at ylankazi.com as well as for Data Science Central. Ylan has a strong interest in natural language processing and how to use it to benefit patients and healthcare stakeholders.
He earned a Bachelor’s degree in Philosophy from Carthage College and a Master’s degree in Healthcare Administration from the University of Minnesota.