Corporate relocation prediction: a 10 year - 2 million companies use case
Whenever you do something that nobody has tried to do before, you often encounter difficulties, that well, nobody has found before! During this talk we will walk you through the data, the modelling, the problems that we encountered and solutions while working together with Graydon on predicting whether different kinds of companies will of relocate. For this use case, we analyzed 10 years of data for two million companies using around 100 descriptors / features, and produced a predictive model using decision trees and random forests on Google Cloud Platform.
Level: Non technical / For everyone
2018 - present: Senior Data Scientist at Qualogy Consultants 2016 - 2018: Data Scientist at Adyen 2009 - 2016: Postdoctoral Researcher at Institute for Theoretical Astrophysics, Heidelberg University 2007 - 2009: Postdoctoral Researcher at Center for Astrophysics, Harvard University