This project demonstrates the creation of an employee churn prediction pipeline using Google BigQuery, PyCaret, and Looker Studio. The goal is to predict which employees might leave based on historical data and offer insights to boost retention.
Technologies Used
- Google BigQuery: For scalable data storage and processing.
- PyCaret: For automated machine learning model development.
- Looker Studio: For creating interactive data visualizations.
Key Features
- Data ingestion and preparation using BigQuery.
- Automated model selection and tuning with PyCaret.
- Interactive dashboard creation with Looker Studio.
- Identification of key factors influencing employee churn.
Link: Read the full article on Medium
Code: https://github.com/shj37/Employee-Churn-Prediction-with-Looker-Studio-BigQuery-and-PyCaret
