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Projects done during Columbia's FinTech Coding Bootcamp. 

Spotify Popularity Predictor

  • Developed a music industry tool to determine artist potential for success. Accurately predicted song's likelihood to break into top 50 hits in USA with 75% accuracy on Spotify, aimed at discovering the next big thing in music. 

  • Core responsibilities: data cleaning, EDA, machine learning models, compilation 

  • Used: Python, Pandas, NumPy, hvPlot, sklearn, API, Jupyter Notebook

Image by Wes Hicks

Estate Planning dApp

  • Created a user interface using Streamlit that allows users to register cash and asset distributions on the Ethereum blockchain. Distributes and prints receipts upon execution. 

  • Core responsibilities: frontend of Streamlit, backend of “cash distribution”, compilation

  • Used: Python, Web3, Solidity, Streamlit

Image by Álvaro Serrano
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