Intern Data Scientist specializing in ML, NLP, and MLOps for healthcare and enterprise AI
Madison, WIGraduate Research Intern1 years experienceInternHealthcareHealthcare ITTechnology
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About
Built a production multi-cloud LLM-driven IT ticket automation system using LangGraph, Azure + Pinecone RAG, and an Ollama-hosted LLM on AWS, with Terraform-managed infra and PostgreSQL audit/state tracking for reliability. Also partnered with UW School of Medicine & Public Health students to deliver a glioma survival risk-ranking model, translating clinical feedback into practical pipeline improvements (imputation, site harmonization) and stakeholder-friendly visualizations.
Experience
Graduate Research InternIDiA Lab, UW School of Medicine and Public Health
Machine Learning InternPersistent Systems Ltd.
Data Analyst InternAculore Statistics Pvt. Ltd.
Education
University of Wisconsin–Madisonmaster, Data Science (2026)
New Horizon College of Engineering, Indiabachelor, Artificial Intelligence and Machine Learning (2024)
Key Strengths
Built and deployed multi-cloud LLM agent to automate IT ticket resolution with policy-grounded RAG
Designed resilient workflows with state tracking, fallbacks, timeouts, and human-in-the-loop escalation
Infrastructure-as-code and reproducible deployments using Terraform; containerized services with Docker
Strong evaluation discipline: unit/integration testing (Pytest), schema validation (Pydantic), ML tracking and A/B testing (MLflow)
Effective cross-functional collaboration with non-technical medical stakeholders; translated clinical needs into data pipeline improvements
Applied clinical ML techniques (imputation, site harmonization) and visualization to build trust and usability
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