KKBox's Churn Prediction

(Kaggle)

In this project, customer churn prediction is calculated using data from Kaggle. The primary personal goal is to build on and demonstrate full-stack data modeling, analytics engineering, and machine learning capabilities. While Kaggle is generally focused on machine learning techniques, my implementation focuses on a mixture of data engineering and data science.

Source: https://www.kaggle.com/competitions/kkbox-churn-prediction-challenge

Project pipeline:

1. Data Extract/Load into PostgreSQL landing tables
2. Data Cleaning and Feature Engineering using dbt