Airbnb Pricing Analysis in NYC

Project Overview: Developed a data-driven pricing strategy for a luxury Airbnb apartment in New York City to maximize profitability.

Key Accomplishments:

Leveraged Tableau to create an interactive dashboard using Inside Airbnb data, enabling efficient analysis of market trends and competitor pricing.
Conducted comparative analysis to determine an optimal initial price point of $500/night for a 2BR/2BA apartment in the Upper West Side, undercutting average competitor prices by $50.
Proposed a strategic price increase to $550-$600 after establishing a strong rating (4.7+), positioning the property as a premium offering.
Integrated the Tableau dashboard into a GitHub-hosted website using HTML and JavaScript, demonstrating full-stack capabilities.

Technical Skills Demonstrated:

Data Analysis: Market research, competitive pricing analysis
Data Visualization: Tableau dashboard creation with custom filters and map integration
Web Development: HTML, JavaScript for dashboard embedding
Strategic Thinking: Luxury pricing strategy development

Future Enhancements:

Amenities analysis to identify key differentiators
Sentiment analysis of reviews to uncover success factors

Impact: This project showcases the ability to transform raw data into actionable business strategies, combining analytical skills with market insights to drive profitability in the competitive short-term rental market.

Interactive Dashboard

See embedded dashboard

References

[1] Datasets from Inside Airbnb, found via Tableau’s blog post on public data sets