I graduated from Stevens Institute of Technology in 2005 in Computer Engineering with a 3.8/4 GPA and a Masters in Computer Engineering with a concentration in Machine Learning with a 3.9/4 GPA. I am an NLP and Recommendation Data Scientist with past experience in companies like S&P, Moody’s, Bank of America, AT&T, Verizon, and Johnson and Johnson. I am currently a Principal Data Scientist at Fidelity who is using NLP, Recommendation and Time Series algorithms to optimize the healthcare data that Fidelity is using for their healthcare app. I was a speaker at last year’s NLP Healthcare Summit for John Snow labs and also an invited panelist for the AI Summit and IoT World Conference in Austin, TX. I am a member of Tau Beta Pi and Eta Kappa Nu. My interests are in NLP and Recommendation AI, along with tying it to the latest research in psychology, linguistics, neuroscience, cognitive science, etc. In my spare time, I like to keep up with the latest research in NLP and Recommendation algorithms, read psychology and philosophy, learn new languages and travel.