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About me
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Designed a website for a hackathon as a course project
A from scratch Neural Network to classify and predict the labels for the MNIST dataset
Engineered from scratch a clustering algorithm to cluster countries based on their COVID-19 death rate
Created a Neural Network using Tensorflow Keras to classify animal images (cats vs dogs)
A sentence generator that uses Markhov model to learn from a movie script and then create a sentence given a starting word
A decision tree model that predicts the likelihood of cancer give certain diagnostics for a patient.
A Neural Network utilizing Genetic Algorithm to play the game of 2048
Published in Proceedings of the Second Workshop on Privacy in NLP, 2020
Online services utilize privacy settings to provide users with control over their data. However, these privacy settings are often hard to locate, causing the user to rely on provider-chosen default values. In this work, we train privacy settings centric encoders and leverage them to create an interface that allows users to search for privacy settings using free-form queries.
Recommended citation: Rishabh Khandelwal, Asmit Nayak*, Yao Yao*, Kassem Fawaz. (2020). "Surfacing Privacy Settings Using Semantic Matching" Proceedings of the Second Workshop on Privacy in NLP. https://www.aclweb.org/anthology/2020.privatenlp-1.4.pdf
Undergraduate course, University of Wisconsin-Madison, Department of Computer Sciences, 2021
Undergraduate course, University of Wisconsin-Madison, Department of Computer Sciences, 2022
Undergraduate course, University of Wisconsin-Madison, Department of Computer Sciences, 2022