- Used XGboost and LightGBM to assist in creation of a new underwriting model. The model was put into production and used for decisioning at time of underwriting.- Designed and implemented a process to report AA codes for underwriting model.- Developed and maintained model monitoring processes to watch for drift in inputs and outputs of underwriting models.- Built out and automated ETL processes to move data from JSON files into Snowflake tables which were used to perform analysis.

- Create predictive models to better match new customers with the best doctors for them- Utilize Microsoft Azure to create, deploy, and monitor predictive models- Present findings to management