Fran leads a team of 100 data scientists building use-case driven data science platforms at Uber. Her teams’ platforms build on top of the low-level capabilities offered by Uber’s Michelangelo to allow data scientists to rapidly deliver higher-level applications as varied as forecasting, anomaly detection, NLP/conversational AI, experimentation, segmentation, and more. Fran will join Sam on the TWIMLcon stage for a live podcast interview exploring how both low-level and higher-level ML platforms can drive data scientist and developer productivity.
