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Airbnb North America Business Analysis

Academic team project · Team Lead & Data Analyst

Analyzed 90,000 North American listings and 1.8 million guest reviews to develop segment-specific recommendations for improving occupancy.

Co-authored a 28-page report that received the Excellent Project Award.

Problem

Revenue growth had slowed, so the project asked how to incentivize hosts.

Decision

Used listing clusters and guest-review topics to identify different host needs and recommend occupancy improvements by segment.

Delivered

  • Analyzed 90,000 listings and 1.8 million reviews using sentiment analysis, clustering, regression, and review-topic modeling.
  • Developed recommendations for host segments based on patterns in guest feedback.
  • Co-authored a 28-page report that received the Excellent Project Award.

Analysis

Conclusion slide: clustering, then regression and topic modeling, with one focus for each cluster
Host-segment recommendations focused on cleanliness, communication, and location.
View full slide