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JoshBeasley95/README.md

Joshua Beasley — Data Science Portfolio

Welcome to my portfolio! This repository showcases a curated set of real-world data science and AI projects that I've built from end to end — covering predictive modeling, app development, marketing analytics, fraud detection, and more.

Each project includes:

  • Code + Models
  • Dashboards or Apps (Streamlit)
  • Dataset summaries (synthetic if proprietary)
  • Loom walkthroughs (for interactive demos)

Projects Overview

1. 💡 Marketing Decision Intelligence System

An AI-powered Streamlit tool that recommends optimal marketing tactics based on predictive engagement and opportunity modeling.

App Preview


2. 🎓 Student Success Prediction

Capstone project using regression models to predict district-level academic performance from demographic and programmatic features.

  • 📂 GitHub Repo
  • 📈 Jupyter Notebook + Visualizations

Educational Inequality Image


3. 🕵️‍♂️ Metaverse Fraud Detection

A supervised ML pipeline to detect fraudulent transactions in a simulated metaverse economy.

  • 📂 GitHub Repo
  • 📈 Jupyter Notebook + Visualizations

Metaverse Fraud Image


🛠️ Installation (Optional)

All apps are available via public Streamlit links. However, if you'd prefer to run them locally:

# 1. Clone the repo
https://github.com/JoshBeasley95/marketing-decision-intelligence-system.git


# 2. Install dependencies
pip install -r requirements.txt


# 3. Run the app
streamlit run streamlit_app_synthetic_data.py

Contact

Have questions or want to connect?


Thanks for checking out my portfolio!

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