Cameron Kennedy

MIDS Student

Focus

Machine learning, predictive analytics, and optimization methods, seeking to tackle challenging problems with fellow data scientists.

Specialization

Business Strategy
Consulting
Data Science

Biography

Cameron Kennedy is a leader in the field of data analytics, currently pursuing his master's of information and data science (MIDS) degree at the University of California, Berkeley.  With over 20 years of experience in a wide variety of roles and industries including healthcare, financial services, management consulting, and mining, using analytics to solve business problems has been a central theme in his career.  Cameron spent several years at DaVita, a large provider of kidney dialysis and other medical services, where he first served as the chief of staff to DaVita’s Chief People Officer (CHRO), and then overhauled their HR Analytics function, transforming what was a basic reporting capability into a sophisticated analytical team that used data to drive clinical and business outcomes.  More recently, Cameron has been speaking at several conferences on people analytics, writing talent analytics articles, researching leading practices from colleagues, literature, and conferences, and studying data science and machine learning.  Cameron holds a bachelor’s degree in Mechanical Engineering from the University of Illinois.

Cameron's goal with the UC Berkeley MIDS program is to become a data scientist in an organization where he can add value by uncovering rich insight in their data, employ sophisticated analytical tasks such as predictive analytics and machine learning, and collaborate with fellow practitioners.  Longer term, Cameron aims to lead a data science practice at an organization, leading a team that generates value from a company's vast data assets and fostering a data-driven culture that employs best practices, promotes ethical data usage, and creates an engaging team environment.

Last updated:

October 23, 2017