Stefano Compagnone's GitHub Portfolio

Welcome to my GitHub portfolio! I am a Data Scientist and Business Analytics Specialist with a Master's in Business Analytics from Hult International Business School. My work focuses on leveraging data to uncover insights and solve real-world business problems. Explore my projects below and feel free to connect with me for collaboration opportunities.

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📚 Skills

• Programming Languages: Python, R, SQL
• Data Analysis: Machine Learning, Statistical Analysis, Data Visualization
• Tools: MySQL, MongoDB, Tableau, Power BI, Jupyter Notebook, Git

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🚀 Projects

Data Analysis and SQL Projects

• Wedding Vendor Pricing and Customer Satisfaction Analysis
  A comprehensive SQL-based analysis to evaluate vendor pricing and its correlation with customer satisfaction in the wedding industry.

• Airbnb Data Analysis
  Leveraged text mining frameworks and Tableau dashboards to analyze Airbnb listings and extract actionable business insights.

• World Bank Life Expectancy & Fertility Analysis
  A comparative analysis of global fertility rates and life expectancy trends using advanced statistical methods.

Machine Learning Projects

• Birthweight Prediction Modeling Case Study
  A machine learning model to predict birthweight and evaluate public health risks using logistic regression and clustering techniques.

• Bank Churn Prediction
  Predicting customer churn using machine learning techniques to help businesses retain high-value customers.

• Chicago Bike Rental Demand Prediction
  Forecasting bike rental demand using time series analysis to support effective resource allocation.

• Optimization Model for Lavazza’s Logistics Network
  Developed an optimization model to enhance supply chain efficiency for Lavazza's logistics operations.

Unsupervised Learning and Feature Engineering

• Unsupervised Analysis Project
  Conducted PCA and k-means clustering to identify engagement patterns in Facebook Live content for a marketing firm.

• Ames Housing Analysis: Feature Engineering and Model Tuning
  Performed feature engineering and hyperparameter tuning to optimize a regression model for housing price prediction.

Data Storytelling and Visualization

• Movies Dataset Analysis Project
  A deep dive into genre trends, runtime analysis, and audience preferences in the movies dataset using visualizations.

• Data Storyboarding & Visualization
  Created Tableau dashboards to present a compelling data story highlighting insights and trends.

Programming and Application Development

• Dynamic Email Generator in Python
  Developed a Python-based dynamic email generator to create personalized emails efficiently.

• Text Adventure Game
  A Python-based interactive game showcasing object-oriented programming and storytelling.

Optimization and Campaign Analytics

• Air France Sponsored Search Campaign Optimization
  Optimized Air France’s search campaign strategies using machine learning and analytics.

• Moneyball Project
  Leveraged sports analytics to uncover insights and strategies for baseball team performance.

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📂 Repository Structure (for individual repositories)

|-- Code/                # Jupyter Notebooks, R Scripts, and Python files
|-- Data/                # Dataset files and database setup instructions
|-- Output/              # Analysis outputs and visualization assets
|-- README.md            # Project overview and instructions

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🎯 Contact

Feel free to reach out for any queries or feedback:
Stefano Compagnone
📧 Email Me
🌐 Connect on LinkedIn