A recent graduate from Northwestern University with a B.S. in Computer Science, Kyle has a strong background in computer engineering and programming concepts. His previous work and academic studies contains a panoply of topics including machine learning, artificial intelligence, computer systems, signal processing, and programming languages. Kyle is well versed and in multiple programming languages and computing environments including C++, C#, Java, Python, R, Lisp, and Matlab. As an aspiring data scientist, he has built a strong foundation in statistical learning and data manipulation methodologies in R and Python. Apart from his academic interests, Kyle enjoys wake surfing, traveling, and volunteering. He also maintains a strong interest in the medical community in his free time. For the past 5 years, he has been a regular volunteer and medical assistant in Ghana and has published an independent medical research paper. Additionally, he participates in Kaggle competitions and enjoys fishing and hiking in Alaska.
