Project Information

Objective

In the era of big data, the hospitality industry grapples with an increasing volume of diverse information that necessitates advanced analytical techniques for insightful decision-making. The aim of the project is to analyze and predict the trends and patterns in Airbnb Bookings using big data technologies. The project delves into the realm of Airbnb reservation data, aiming to leverage the power of distributed computing and big data technologies for comprehensive analysis and modeling.

Achievements

  • Ingested data from disparate data sources into GCP cloud storage buckets, reducing on-premise storage costs by 80%.
  • Visualized data on GCP BigQuery and Looker to uncover trends and insights, and recommend strategic business-decisions.

    • Tech Stack

    Data Warehousing, GCP Cloud Storage, SQL, BigQuery, Looker