Neo4j Hotel Graph Database
Duration: Sep 2023 – Oct 2023
Tools Used: Neo4j, Cypher Query Language, Python (Py2neo), Graph Data Science
This project involved designing and implementing a graph-based database using Neo4j for a hotel chain to better understand relationships between guests, rooms, and transactions. The graph model provides greater flexibility and efficiency for complex queries like loyalty tracking, frequent co-travelers, and high-value customer clusters.
🔍 Highlights:
- Created nodes for guests, rooms, hotels, and bookings with rich metadata.
- Built relationships like
STAYED_IN,BOOKED, andREFERREDto reflect real-world structure. - Wrote Cypher queries to find frequent visitors, graph depth, booking clusters, and customer segmentation.
- Used Python + Py2neo to populate and run analytics on the graph.
- Visualized relationships interactively with Neo4j Browser and Bloom.
🔗 GitHub Repository
Access the full code and documentation here:
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