- As a team of three, used machine learning algorithms to develop models for predicting the sets of cellular functions associated with protein sequences.
- Used the models in an international bioinformatics competition known as the CAFA3 experiment.
- Developed a web application with ReactJS and Python Flask that allows users to interact with the predictive models.
- Implemented using the R Programming Environment, Python, NumPy, Scikit-Learn, ReactJS, AJAX, JSON, Python Flask, and MongoDB.
Worked in an Agile development environment to create a bioinformatics web app using ReactJS, Python Flask, and MongoDB.