Cloud computing

This project builds a data pipeline in Google Cloud to automate data collection and transform open source data into a dashboard with predicted property prices for Philadelphia’s property owners and assessors at the city scale and the neighborhood scale.

All cloud functions and the cloud workflow are deployed using Python scripts, and the data is queried using SQL and BigQuery. The property prices are predicted using a random forest model, and loaded into the dashboard using vector tiles, API, and json files.

The dashboard is available here.