Machine Learning to Improve Performance in Asset Management, Reliability, and Supply Chain
Danaka Porter holds a Master of Engineering in Systems and Supply Chain from MIT. She began her career at PwC in audit before moving into manufacturing. She specializes in inventory optimization and has created and copyrighted inventory algorithms for hard to predict demand situations over long periods of time. Danaka is a sessional lecturer at the University of Lethbridge’s Dhillon School of Business where she teaches Supply Chain and Project Management to upper-level students. Danaka is also a partner at a successful consulting company in Canada which takes her all over the world, and has co-founded a technology company in the US which uses machine learning algorithms she created to better match donors and recipients. Additionally, Danaka is currently doing her PhD in Cardiovascular Sciences where she is once again, using machine learning to rewrite algorithms to better highlight predictors of sudden cardiac death.