Ike has experience working across the Data Science stack from Data Aggregation, Analysis / Modeling to extracting actionable insights from data. He has worked on a variety of problems from auction price prediction, NLP and using machine learning for intent resolution. Ike believes implementing things (ML algorithms) from first principles gives a better understanding of how and why they work and this also sheds some light on what may be going on under the hood when they fail. Ike holds degrees in Physics, Electrical Engineering and Industrial & Systems Engineering and he is excited about the possibilities that abound with the proliferation of data. Ike is a Data Scientist at a Bay Area startup.