Project information

  • Category: MLOps, Statistics
  • Role: Collaborator
  • Project date: February 2023 - May 2023
  • Project URL: Github Repository

CITI Bikes Forecasting Model

Designed and developed a comprehensive end-to-end Machine Learning pipeline for predicting hourly net bike change leveraging PySpark and real-time structured streaming on the Databricks platform.

Conducted extensive data analysis on 1M+ bike usage records, built an FB prophet forecasting model to predict hourly net bike change for a station and intergrated Git and MLflow for real-time monitoring application and model tracking and registry