KenSci
Zoey Zhuang is a Data Scientist at KenSci, a position held since August 2018, specializing in optimizing medical, human, and financial resources for healthcare providers and payers through machine learning in Cost and Utilization Management. Zoey designs and builds machine-learning and data-driven engines tailored to customer needs, providing actionable insights and tools. Previously, Zoey completed internships at IBM in 2015, focusing on building application demos and optimizing functional modules using Swift. Zoey holds a Master’s degree in Computer Science from the University of Washington (2016-2018) and a Bachelor’s degree in Computer Science from Xi'an Jiaotong University (2012-2016).
KenSci
1 followers
At KenSci, they are a team of doctors, developers and data scientists, transforming healthcare by harnessing the power of data. They're on a mission to make healthcare more predictive, proactive and preventive. KenSci's Machine Learning Platform and Predictive Analytics Apps answer the hard questions about 'Who might get sick?', "What can we do about it?' and 'How can we serve them better across the continuum of care?'.