A cloud-native behavioral analytics project exploring introvert vs. extrovert patterns using Google BigQuery, Databricks, and Google Cloud Platform.
IntroExtroScope analyzes patterns of introversion and extroversion through a structured data science pipeline:
- 🔍 Exploratory Data Analysis (EDA)
- 🔮 Predictive Modeling
- 📈 Data Visualization
The entire pipeline is deployed using BigQuery SQL for analytics, Databricks for processing, and GCP for scalability.
- Understand behavioral trends in personality types.
- Build models to predict introversion/extroversion from features.
- Create visualizations to support data storytelling.
| Component | Tool/Service |
|---|---|
| Data Storage | Google Cloud Storage |
| Data Processing | Databricks + Big Query |
| Visualization | Databricks + Looker Studio |
| Train AUC | Validation AUC | Test AUC |
|---|---|---|
| 0.911 | 0.870 | 0.92 |
# Clone repo
git clone https://github.com/yourusername/introextroscope.git
cd introextroscope- Download the following
dependencies
Software |
Version |
|---|---|
Python |
3.13.2 |
pip |
25.0 |
- Download the
pythondependecies required to run thenotebooklocally
python -m pip install -r requirements.txt- Run the
jupyter labnotebook
cd ./notebooks
jupyter lab