The three stages of workforce optimisation: Moving beyond the industry standard

Author's Biography

Dakota Crisp has a PhD from the University of Michigan. His hypothesis-driven approach to integrating concepts from neural engineering into the data science space provides a distinctive take on consumer behaviours.

Jess Brown has a BS from the University of Michigan. Her background in computer science introduces a focus on bringing models to life through unique implementation strategies.

Jack Claucherty has a BS and MSE from the University of Michigan. He brings an industrial engineer’s perspective to data science with a focus on complex systems and states.

Davis Busteed background in information systems provides a creative approach to problem solving with cutting edge data techniques.

Anna Schultz is a BBA graduate from the Ross School of Business. Anna has spent her career in marketing and analytics at RXA. She takes pride in building marketing strategies and materials that blend unique design with useful and direct communication. In analytics, she has worked with companies from a wide variety of industries to collect, transform and visualise their data to deliver actionable insights throughout the company.

Jonathan Prantner is Chief Analytics Officer and co-founder of RXA, where he leads efforts surrounding applied artificial and machine learning as well as integrating advanced analytics with data visualisation platforms. Jonathan’s career has spanned educational research, automotive, consumer packaged goods, travel and healthcare. Jonathan is a celebrated thought-leader and recipient of multiple data science patents whose approach to applied mathematics has pushed analytics to the limits for over two decades.