Machine Learning Engineering Intern
- Led the design and execution of an experiment to assess model overfitting in transaction riskassessment after a fraud wave, identifying a region with increased customer friction- Conducted an experiment to evaluate the impact of incorporating recent training data on overallmodel performance, revealing the importance of precise dataset curation- Created a scalable model deployment and tracking workflow, facilitating the analysis of 100+models across 3 research projects- Assisted in building and maintaining a Spark-like machine learning framework for model training,testing, and deployment