Projects
Data Science
Rectify
Rectify delivers personalized podcast recommendations through data science. Users can discover new podcast episodes based on topics, guests, or other interests. I utilized flask for the web application, sklearn for machine learning, and python for data engineering.
2020 Wrapped
We produce vast amounts of data everyday that we don’t take advantage of. I visualized the data I produced in 2020 to gain insights around my habits. I analyzed data sources such as fitness, sleep, social media, Spotify, Netflix, and more. I utilized Power BI for visualization and python for data engineering.