Engineering a Data Scientist


September 2, 2016

Dr. Aron Ahmadia
Data scientist at Capital One
Date/ time: Thurs. Sept. 1st, 2 – 3 PM
Location: SEH 2000B
Hosted by: Prof. Lorena A. Barba

 

Abstract
Data Science. Artificial Intelligence. Machine Learning. From startups to banks to the military, there is a growing demand for a new brand of expertise. Despite this need, many analytical job advertisements might as well be titled "Engineers Need Not Apply". Is engineering doomed in this brave new world of big data and deep neural networks? Fear not! In this talk, Dr. Aron Ahmadia, a seasoned data scientist and lead of Capital One's Machine Intelligence team, explains how an engineering education has become even more relevant in today's professional environments with rapidly evolving requirements, technologies, and teams. Learn about how an engineering degree prepares you for a career in data science: what courses to take, which programming languages are relevant, and what experience hiring managers are looking for.


Contact
The George Washington University, Mechanical and Aerospace Engineering
800 22nd St NW, suite 3000
Washington, DC 20052
[email protected]