Analyzed global container scan data using Snowflake SQL, Python, and statistical testing to provide stakeholders with visibility into the Pitney Bowes network.
Trained, tested, and tuned a machine learning model using LightGBM to predict cycle time for container journeys between locations within the Pitney Bowes network to improve container arrival forecasts.