Machine Learning Engineer (Co-Op)
StoneX Group
Chicago, Illinois, United States
Data as a Service Team
Jan 2023 - June 2023

demo

  • Created a proof of concept pipeline to benchmark prototypical commodity indices, enabling their potential product release
  • Analyzed the profitability of commodity indices corresponding to 200+ expert-provided configurations based on historical prices, surpassing performance targets by 23.3% in 10-year total return with the highest-performing index
  • Accelerated benchmarking by 3000% from code optimization in Python using pandas and parallel execution in Databricks
  • Collaborated closely with marketing associates to refine evaluation criteria by simplifying technological concepts
  • Devised a procedure to version track Databricks workflows in the repository and developed a Python script for CI/CD in Azure DevOps to automate workflow migration from production environments using APIs, eliminating manual processes
  • Verified migration of Delta Live Tables and Spark SQL commands in complex scenarios through unit and integration testing