End-to-End Airbnb Listings Data Pipeline

Analyzed Airbnb listings in Seattle to identify key factors influencing listing prices. Built and optimized ETL pipelines to ingest and clean data. Applied machine learning models for price prediction, which provided actionable insights for property owners. The project utilized tools like PySpark, dbt, and Looker, resulting in improved decision-making for pricing strategies.