Data Engineering + Applied ML
I build reliable data pipelines that turn complex data into insights.
I’m a Data Engineer at NeuroFlow, building scalable data systems for healthcare reporting, decision support, and production ML.
Current focus
Snowflake infrastructure (stored procedures, tasks), dbt-powered reporting systems, automated client delivery pipelines, and applied ML for healthcare analytics.
Based in
Philadelphia, PA
Background
B.S. Business Analytics → M.S. Data Science
- Lead Data Engineer for a claims-based analytics platform powering a multi-year pay-for-performance contract.
- Re-architected legacy entity resolution into a Snowflake-native SQL solution to improve recall and reduce complexity.
- Built production ML workflows in Snowflake using Snowpark, enabling automated training and inference.