Data Science projects are difficult to plan, particularly for those coming from a software development tradition. In this talk, I'll discuss some approaches we use in data science consulting to bring projects from conception to productionalization. The main trick: engage data engineering and DevOps early in the process and produce prototypes that allow them to begin work.
Consultant & Clinical Professor, Data Insights & Univ of MT
John has worked in Data Science for 20 years. He founded a start-up acquired by Microsoft and has been consulting for 7 years for a number of large and small companies.
