Clinical ops, CX pipelines, and the systems that feed them.

Recent work first. Amgen, Corebridge, and AIG get the detail; earlier roles stay short. For a full résumé, email or LinkedIn.

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Development Data & Analytics Manager

Amgen Inc.

On the Operational Design Analytics team I turn clinical-trial history into planning tools — enrollment velocity, LSE shifts, therapeutic-area rollups — that study teams actually bring into meetings.

  • Built and iterate the patient-enrollment FastAPI surface used in active study planning.
  • Pull feasibility and site-performance history into geographic and REM / DAP conversations.
  • Partner across ops and data so models stay tied to the deliverable, not a slide deck.

Machine Learning & Data Engineer

Corebridge Financial

Stood up ML and data infrastructure so models could train, ship, and be observed across business units — not one-off notebooks.

  • End-to-end ingestion and modeling pipeline on cloud + Snowflake.
  • Models-as-a-Service with API integration for consuming teams.
  • Custom spaCy NER and CX feature work feeding downstream segmentation.
  • Data-quality observability for anomaly detection in the warehouse.

Data Engineer → Insight Data Analyst

AIG — Life & Retirement / Customer Office

Call-center and feedback analytics: sentiment and keyword NLP on transcripts, Snowflake migrations, Qualtrics pipelines, and Shiny KPI boards for CX leadership.

  • Composite NLP for earlier complaint-shaped callback priority.
  • Legacy pipeline moves to Snowflake / Snowpark.
  • Qualtrics feedback integration and interactive CX dashboards.

Earlier