Is it Too Late? - Using Machine Learning to Project NBA Careers

Is the success of an NBA player's career bound by how well their first couple of seasons go? Or do they still have time to reach their star potential?

Building a Financial Analytics Dashboard with Databricks

Building an end-to-end financial data pipeline on Databricks that ingests stock prices and financials from multiple APIs. Using the Medallion Architecture, it transforms raw data into analytics-ready tables and powers a dashboard for stock, financial, and sector analysis.

Creating an ETL Pipeline with Spotify Data

This goal of this project was to create a data pipeline to extract, clean, and load my recently played Spotify songs data into a PostgreSQL database twice a day. I then queried this data to create an interactive dashboard that visualizes my listening trends over time.

NBA Data Analysis: The Effect of Back-to-Back Games on Team Performance

Since 2015, the NBA has made an effort to reduce back-to-back games to improve its product. But how much of an impact does a day of rest provide? The goal of this project was to analyze how teams perform in the second game of a back-to-back when compared to playing with at least one day of rest.