Dalila Benachenhou is an execution data scientist at DataRobot with graduate degrees in both Computer Science and Statistics. Leveraging her passion for learning and building with new technologies, Dalila developed an in-house graphical database (before Neo4j existed), a $100M NN trading model that predicts US Treasury notes, a Fuzzy System app (highlighted in the book, “Trading on the Edge”), a company and executive profiler app (Information Extraction), and more. Her book, “Spot Financial Shenanigans,” explains how to detect financial problems or fraud in public companies. As professor at George Washington University, she taught “Intro to Statistical Packages,” early data science course. Reach out to Dalila if you want to chat about the power of machine learning in qualitative analysis, detecting rare events, etc.