About me
My name is John Volpatti and I am a third year Industrial Engineering student at the University of Toronto.
I am keen on operations research and product management.
Outside the classroom, I like to read, go on runs, and play the piano!
Simulated the Emergency Department (ED) of a hospital using Simio. My team and I designed the model from scratch (involving resources representing physicians for each ward) and compared alternative scenarios using the KN algorithm. We also used "fitdistrplus" in R to fit distributions to treatment time data.
My friends and I created a PyTorch-based program that can predict whether a news article is true or fake. Data was collected from Kaggle and preprocessed through our script. GloVe embeddings were used for words in each article and such embeddings were fed into an RNN (specifically a GRU), where the output was either true or fake. Our model was able to achieve a final testing accuracy of 98.8%.
