Used transfer learning to identify the breed of a dog, or find the dog that looks like you
Built a Python package that implements affinity propagation from scatch - A technique based on message exchange between data points and do not require pre-specifying the number of clusters.
Using NLP attributes such as containments for feature engineering and Naive Bayes classification for detecting plagiarism.
An app to automatically interpret blackbox high-performance machine learning models
Evaluated different boosting algorithms on a dataset including features from various vitals and lab test results. Achieved 0.905 AUC
Deployed a flask app with continuous delivery that performs extractive summarization on long text or lists of web articles from user input
Identify the different concerns among pro- and anti- vaccine group surrounding #flu and #flushot from Twitter, visualized the interactions between the groups and the influencers within them
Modeled user the segments of a credit company through K-means clustering and t-SNE. Made recommendation on different targeting strategies