This project explores the relationship between various musical features and the popularity of songs on Spotify. Using data-driven insights, it identifies key factors that influence a song's success and builds predictive models to uncover patterns in Spotify's 2023 dataset

This project analyzes loan default risks by leveraging demographic and financial data. By identifying key patterns, it supports financial institutions in making informed lending decisions while promoting financial inclusion

This project analyzes loan default risks by leveraging demographic and financial data. By identifying key patterns, it supports financial institutions in making informed lending decisions while promoting financial inclusion.