I am acclimated and confident with “solving mysteries without any clues”, which at the core is what data science (analysis, engineering, architecture) actually is. There is no such thing as the perfect data set, if it is extracted from the real-world its messy, incomplete, and clumsy. In scientific research & healthcare, one needs to be comfortable with assessing, challenging assumptions & drawing conclusions with incomplete, imperfect data – esp in science and health care as the recommendations do truly matter.