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Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite images
Utilized machine learning and differential equations to develop computational models of the spread of substance use in the U.S. population and related health effects. Wrote 25-page research paper t…
Created from scratch an efficient web scraper to mine WebMD for data on all the drugs listed on the website as well as the customer reviews for those drugs
Generated new TV scripts for The Simpsons using NLP techniques, including Google's Word2vec algorithm with a continuous skip-gram architecture and RNNs with LSTMs
Developed model to translate between English and French using NLP techniques, including seq2seq architecture and RNNs with LSTMs
Used transfer learning by training a classifier on top of VGG16, a popular, former state-of-the-art convolutional neural network that was trained on the ImageNet data set
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