Premialab

● Led development of a risk aggregation engine, incorporating both additive and non-additive metrics such as H-VaR by implementing algorithms from written documentation, resulting in a 60% reduction in report runtime.

● Mentored junior data scientists on model selection and deployment, ensuring business alignment.

● Optimized SQL processes, cutting query time by 90%.

● Led ML & AI discussions in external partnership meetings, providing strategic insights.

● Deployed a microservice ETL pipeline to an AWS Cloud ECS cluster in collaboration with DevOps.