● Led a team of 4 engineering interns to perform various data analytics/science tasks, scripting, and develop an architecture for a maintenance application to discover ways to reduce operating costs and enhance services.

● Implemented a Microsoft Azure Virtual Machine instance for supporting collaborative data science work.

● Developed and deployed data pipelines for two primary data sources, BART’s data and various Weather API’s.

● Wrote a series of python and shell scripts within Splunk’s configuration files located on the cloud-based Linux operating system to enable appropriate ingestion of BART data and Weather API data.

● Used Splunk to analyze operation, maintenance, and passenger log data collected from BART’s daily systems.

● Used machine learning techniques on the operation and maintenance data to identify train delays.