Daniel Krasner works as a data mining and analytics scientist/consultant in New York. He received his PhD in mathematics from Columbia University, with a focus in low-dimensional topology and homological algebra, was subsequently a researcher at MSRI and an assistant professor at UCLA, and has recently moved into the private sector. He is interested in any and all problems related to data mining, statistical inference, and mathematical modeling. The main objective of this blog is to share resources, ideas, books, and techniques useful to those working or thinking of entering the world of data analytics. It will also serve as a platform for periodic thoughts and reflections. If you have data related problems or questions and are in need of solutions feel free to contact Daniel at any time.