Daniel Rosen is a highly experienced data scientist with over 20 years of experience in market research consulting, data mining, and predictive modeling. Rosen has proven expertise in research design, data analysis, behavioral economics, and artificial intelligence, among other areas. He has a B.A. and a Ph.D. in Psychology and Neuroscience from Stanford University, where he studied under David Rumelhart, one of the founders of neural networks. With a wealth of knowledge and skills, Rosen has served in various high-ranking positions in reputable organizations such as DataMind Research, GfK Custom Research North America, Knowledge Networks, and PERT Survey Research, to mention a few.

Throughout his illustrious career, Rosen has helped companies answer business questions related to behavioral economics, consumer insights, segmentation, data analysis, predictive modeling, and more. He leverages his extensive experience and quantitative background to predict consumer behavior, understand business trends, and provide data-driven insights that aid in decision-making processes. As a recognized expert in market research, data science, and statistics, Rosen is constantly sought after to provide presentations and seminars on various topics related to his area of expertise. His vast knowledge in Neural Networks, Data Science, Predictive Modeling, Big Data, Statistics, and Segmentation makes him an exceptional addition to any team that desires to take its data science prowess to the next level.