Analytics & Data Science by Dataiku NY

Crime poses a particularly interesting data challenge -- it is both geospatial and temporal, and may be affected by many different types of variables -- weather, city infrastructure, population demographics, public events, and government policy. We will talk about how to merge, visualize, and model this type of complex data, using PostGIS, spatial mapping, time-series analyses, and machine learning, and ask what most predicts crime -- and what we can do to prevent it in the future. She is an award-winning researcher and instructor. Prior to joining Dataiku, she completed her Ph.D. in Cognitive Neuroscience at Massachusetts Institute of Technology and worked as a Postdoctoral Fellow at Harvard. Jorie currently resides in New York where she helps clients research, analyze, builds and deploy scalable data products.