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A personality behavior analytics project using Google Cloud, BigQuery, and Databricks to explore and visualize patterns in introverted vs. extroverted individuals.

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🎭 IntroExtroScope

Google Cloud BigQuery Databricks Python License

A cloud-native behavioral analytics project exploring introvert vs. extrovert patterns using Google BigQuery, Databricks, and Google Cloud Platform.


IntroExtroScope Artwork

📊 Project Overview

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.


🧠 Objectives

  • Understand behavioral trends in personality types.
  • Build models to predict introversion/extroversion from features.
  • Create visualizations to support data storytelling.

🛠️ Tech Stack

Component Tool/Service
Data Storage Google Cloud Storage
Data Processing Databricks + Big Query
Visualization Databricks + Looker Studio

📂 Folder Structure (To Complete)


📉 Analysis Results

Looker Studio Dashboard


🔮 Data Enrichment with Logistic Regressor

Train AUC Validation AUC Test AUC
0.911 0.870 0.92

🚀 How to Run The Local Jupyter Lab Notebook

# Clone repo
git clone https://github.com/yourusername/introextroscope.git
cd introextroscope
  1. Download the following dependencies
Software Version
Python 3.13.2
pip 25.0
  1. Download the python dependecies required to run the notebook locally
python -m pip install -r requirements.txt
  1. Run the jupyter lab notebook
cd ./notebooks
jupyter lab

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A personality behavior analytics project using Google Cloud, BigQuery, and Databricks to explore and visualize patterns in introverted vs. extroverted individuals.

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