- Design, build, validate, and deploy machine learning models across the full data science lifecycle.
- Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement.
- Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines.
- Analyze diverse healthcare data sources including EHRs, claims, and clinical registries.
- Translate analytical findings into actionable insights for stakeholders.
- Manage documentation of best practices and scalable frameworks.
- Mentor and guide client counterparts to sustain project deliverables.
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