NYC 2015
Gregory Kamradt
With a background in finance, I've built my career translating a financial story into one that management and non-technical users can understand. Data science allows me to take my business acumen and apply domain expertise to a diverse set of problems through a statistical and machine learning approach. I'm most passionate about understanding customer behaviors and diving into the mind of the user. Additionally, I'm constantly impressed and interested by the work being done around spatial temporal analysis.
Presentations
Ryd.io - An exploration of K-Means clustering of NYC Taxis in Manhattan
Tuesday 1:10 p.m.–1:45 p.m. in 1
