Representing document-level semantics of biomedical literature using pre-trained embedding models
Work done for Abbvie Pharmaceuticals over the summer of 2019. Paper was published by Konvens - a German conference for Natural Language Processing.
Using several NLP techniques to get insight into the Toronto Native's lyrical genius.
Over the summer of 2019 I built a summarization service using Pytorch, Bootstrap, Heroku, & Flask.
Over the spring of 2019 I created a series of experiments to test if Russian Trolls were using Reddit in a predictable way.
Work done for Abbvie Pharmaceuticals over the summer of 2019. Paper was published by Konvens - a German conference for Natural Language Processing.
Using a variety of online resources ( Wikipedia, BasketballReference, etc.) I set out to discover which college year (Freshman, Sophomore, Junior, Senior) is the most successful in the pros. Was completed April 2018.
One of the most important goals in education is improving assessment scores and final grades. The particular datasets that I decided to analyze tried to approach achievement for Portuguese students at a secondary education level. I used several machine learning techniques in my analysis.
