- Traded QQQ, NQ, and NDX options in an execution-based role.- Traded ES, NQ, RTY, and YM futures using a high-frequency strategy. Primarily research-based role centered around the development of an algorithmic strategy with minimal trader intervention.

Assisted in a retrospective analysis of RBC transfusion efficacy in critically ill patents over 65 which applied propensity score matching and association rule mining to examine the relationship between RBC transfusion, 30-day mortality, and 1-year mortality rates.

Automated core team operations by creating a CI/CD pipeline with Ansible and Jenkins to deploy market data applications to AWS EC2 instances. - Replaced multiple manual processes with Python scripts to automate deployments with improved speed/accuracy- Reduced the time required to test/deploy the team’s application suite from 18 hours to less than 3 hours

Provided office hours and graded student assessments, assignments, and projects.

Researched and implemented neural network, random forest, and association rule mining strategies to identify cases of dealership fraud for auto companies.- Wrote diagnostic tests to evaluate the performance of in-place models- Met with end clients to determine project requirements and evaluate model performance- Increased accuracy over existing statistical models from 30% to 60%