Description
This project aims to derive value from a large dataset collected through an annual satisfaction survey conducted by a department at the French Ministry of Economy (Bercy). The survey targets all employees across various divisions.
Key Steps:
- Data Collection: Retrieve raw annual survey data.
- Data Processing: Clean and format the raw data for further analysis.
- Sentiment Analysis: Apply a machine learning model to analyze user feedback.
- Data Storage: Store the processed data in an S3 bucket.
- Data Visualization: Build a Streamlit dashboard to compare data across different years.
This workflow enables efficient analysis and reporting of employee satisfaction trends over time.