NYC Airbnb Decision Support System
An interactive analytics ecosystem helping travelers estimate trip costs, compare neighborhoods, and make smarter stay decisions.
PythonSQLExcelTableauDecision Analytics
Project Brief
Planning a trip to New York can be overwhelming due to varying prices, neighborhoods, and stay options. This project builds a complete data-driven decision support system using Airbnb listings to help travelers choose where to stay, estimate trip costs, and evaluate multiple what-if scenarios.
Goal
Transform raw Airbnb data into a practical decision framework that enables travelers to compare neighborhoods, select suitable room types, and plan budgets using interactive tools.
Tools & Technologies
- Python: Cleaning, EDA, feature engineering
- SQL: Ranking listings
- Excel: Cost estimator
- Tableau: Traveler dashboard
What I Did
- Cleaned and validated listing data
- Analyzed pricing & availability patterns
- Built recommendation logic
- Designed Excel estimator
- Created Tableau dashboard
Results & Insights
- Clear neighborhood price differences
- Budget planning tool
- Quality vs cost insights
- End-to-end decision framework
Let's Work together!
Built with ❤️ using a template by Bettina Sosa