Senior Data Scientist, healthcare technology
2022 - Present
- Support production ML and analytics workflows across healthcare risk, future-cost, and readmission use cases.
- Build platform capabilities for ML pipelines, data quality, lineage, model versioning, and reproducible workflows.
- Improve Spark and Databricks workflows through profiling, query refactoring, caching, and cluster tuning.
- Create validation notebooks, run-tracking views, and operational handoff patterns for model workflow reliability.