This document discusses applying a "street fighter" approach to data science. It advocates analyzing raw data closely to find insights, improvising solutions to emerging problems, anticipating issues, and being willing to adapt models or strategies based on what the data reveals. The document provides examples of how this approach could have helped avoid issues like a pricing model reducing profits due to not analyzing customer data thoroughly enough beforehand.