Supervisor

Dr. Taufique Ahmed

Programme

HDIP in Data Analytics for Business

Subject

Computer Science

Abstract

This project applies strategic thinking and the CRISP-DM methodology to analyse Airbnb listings in New York City and identify patterns associated with host performance and market vulnerability. Airbnb has become a major global accommodation platform, creating opportunities for individual hosts while also increasing competition within the short-term rental market. The project focuses on whether data-driven analysis can identify factors that may influence host success and provide useful insights for hosts with less experience or expertise than larger hospitality organisations. The dataset contains 85 variables, many of which require careful evaluation due to redundancy, high cardinality, sensitivity, or limited relevance to the research objective. Data preparation therefore includes variable selection and dimensionality reduction before applying analytical and predictive techniques. The project aims to identify meaningful patterns within Airbnb listing data, develop predictions where appropriate, and generate practical insights that could help hosts better understand their position within the New York City rental market.

Date of Award

2026

Full Publication Date

2026

Access Rights

open access

Document Type

Capstone Project

Resource Type

thesis

Download

Included in

Data Science Commons

Share

COinS