Elliot Noma

Elliot Noma is a data scientist and developer with expertise in blockchain, internet of things, machine learning, and natural language processing.

He is currently working on developing machine learning and natural language processing models to enhance document understanding for analysts in the banking sector.

In addition to his professional work, Elliot has been a speaker and panelist at various industrial conferences. He has also been featured in publications like Waters Technology and The Journal of Behavioral Finance.

Apart from his tech and finance background, Elliot blogs on various topics and summarizes tech presentations in New York.

Elliot Noma's educational background includes a AB in Mathematics from Dartmouth College, a PhD in Mathematical Psychology from the University of Michigan, and a MA in Mathematics from the same institution.

He has held various roles in organizations such as RBC Royal Bank Of Canada, Rutgers University, Princeton Information, Vertiv Inc., Dun and Bradstreet, Columbia University, Montclair State University, Garrett Asset Management, and more.

Elliot's technology expertise spans across machine learning, NLP, blockchain, Python, R, Javascript, RDF & SPARQL. His financial expertise includes hedge funds, trading, portfolio management, risk management, and various other aspects of finance.