I have a background in observational astronomy. My research area is in star formation, which involved analyzing data from large observational surveys by extracting structures from images and finding relationships across multiple surveys. I am interested in using data, statistics, and machine learning to learn new things in different areas.
Please check out the blog posts for examples of my work or check out my Github page.
A python package on implementing the expectation-maximization algorithm to discrete Bayesian network with hidden variables. Bayesnet_em takes in a dataset with a hidden variable and an initialized bayesian network model and returns a complete dataset.
GitHubA movie recommendation web application that uses a decision tree algorithm on a dataset of movie tags. Users answer a set of questions on what types of movies they are looking for to get a movie recommendation. A content-based recommendation system then provides suggestions for similar movies. The web application is built using Django and hosted on Heroku.
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