Machine Learning Engineer (Co-Op)
StoneX Group
Chicago, Illinois, United States
Data as a Service Team
Jan 2023 - June 2023
- 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
usingpandas
and parallel execution inDatabricks
- 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 aPython
script forCI/CD
inAzure DevOps
to automate workflow migration from production environments usingAPIs
, eliminating manual processes - Verified migration of
Delta Live Tables
andSpark SQL
commands in complex scenarios through unit and integration testing