🎭 IntroExtroScope

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

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📊 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.

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🧠 Objectives

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

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🛠️ Tech Stack

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

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📂 Folder Structure (To Complete)

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📉 Analysis Results

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🔮 Data Enrichment with Logistic Regressor

Train AUC	Validation AUC	Test AUC
0.911	0.870	0.92

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🚀 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

2. Download the python dependecies required to run the notebook locally

python -m pip install -r requirements.txt

3. Run the jupyter lab notebook

cd ./notebooks
jupyter lab

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