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Utilized predictive analytics to proactively predict hunger hotspots for jurisdictional resources.
HTML 2
Ran models through CNNs and gradient-boosted tree models to identify breast cancer subtypes.
Python 1
Identified research trends in the DDW (gastrointestinal) conference using Docker & LSTM.
Developed a model using GANs to change a biased healthcare dataset into an unbiased one. Published by the NIH.
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