Additional information
by Walter Degrange (Author), Lucia Darrow (Author)
This book is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions.
Author Biography
Walt DeGrange is the Director of Analytics Capabilities for CANA. He has extensive experience implementing analytical models in both the Department of Defense and commercial areas. Prior to CANA, Walt served 21 years in the US Navy as a Supply Corps Officer. He was the Director of Operations Research at several military commands as well as a Military Assistant Professor on faculty at the Naval Postgraduate School in the Operations Research Department.
Walt is also very active in analytics education. He is an adjunct faculty member at the University of Arkansas with both the Master of Science Operations Management and Engineering Management programs. He is an MBA Executive Advisor at the NC State University Poole School of Management. Walt serves as the Military Operations Research Society (MORS) Course Director for the Critical Skills for Analytics Professionals Certificate Program, and he teaches the Analytics Capability Evaluation (ACE) Coaching Course for INFORMS.
Lucia Darrow is a data visualization expert with experience implementing analytical models in a variety of environments, including healthcare, manufacturing, defense, and finance. An industrial engineer by training, Lucia also has extensive experience with Lean manufacturing and the modeling of complex systems. In a professional role as a learning and development lead and as a community events organizer, she has facilitated many successful networking events, tutorials, and classes in a wide range of analytics topics. Lucia is actively involved in the analytics community through RLadies and recently co-organized the first Vancouver, BC Datajam.
She holds a Master of Science in Industrial Engineering from Oregon State University and a Bachelor of Science in Mathematics from Dickinson College. Lucia is currently a Content Marketing Data Analyst with RepRisk AG, an environmental, social, and corporate governance (ESG) data science company based in Zurich, Switzerland.
