An app created with streamlit that takes in user inputted music listening data from a variety of formats and analyses it. Returns insights and visualizations to help users understand music listening patterns.
Data engineering project created for DS3022. Processes real time streaming updates from WMATA API to store live bus status in a DuckDB table using a Kafka producer and consumer. Displays current bus location on route and delay time on a streamlit dashboard.
Group machine learning final proejct for DS4021. Optimized regression, random forest, support vector machine, and neural network models on a dataset of student information to identify which predictors are consistently important for predicting performance in math classes using scikit-learn and pytorch.