Tristan Bergh is a systems thinker and data scientist living in Cape Town, South Africa. He studied aeronautical engineering before working as an enterprise software engineer. He worked as architect on AFIS implementations in Southern Africa, moving into middleware for large fintech systems. He restarted his system modeling and machine learning consulting services through 2014, delivering predictive analytics models in healthcare and other domains. Tristan’s skills are that of a full-stack data scientist, using primarily PySpark to deliver predictive analytics models in a rules-engine environment. He backs up his machine learning at scale using R and Python to find optimal models and feature sets for use in modeling. His current area of interest is setting up customer next-best-action processes at scale.