Mid-level Data Scientist specializing in healthcare ML and GenAI
San Marcos, TXData Scientist4 years experienceMid-LevelHealthcareHealthcare ITHealth Insurance
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About
Healthcare data/NLP practitioner with experience at UnitedHealthcare building production ML systems that connect unstructured call center transcripts and medical notes to structured claims data. Has delivered measurable impact (25% classification accuracy lift; ~30% relevance improvement) using classical NLP, embeddings (Sentence-BERT + FAISS), and AWS SageMaker deployments with robust validation and drift monitoring.
Experience
Data ScientistUnited Healthcare Group
Data ScientistBytes Soft Solution
Education
Texas State Universitymaster, Computer Science (2023)
Marri Laxman Reddy Institute of Technology and Managementbachelor, Computer Science (2020)
Key Strengths
Built NLP pipeline linking unstructured call transcripts to structured claims data
Improved case classification accuracy ~25% and reduced manual triage time
Strong model validation practice (cross-validation, stratified sampling, ROC-AUC/F1, confusion matrix, GridSearch)
Production deployment on AWS SageMaker with monitoring/drift checks against actual outcomes
Entity resolution/data cleaning with fuzzy matching and manual audit (5% sample) achieving ~96% precision
Embedding-based linking/search using Sentence-BERT + FAISS improving match relevance ~30%
Domain fine-tuning with triplet loss to improve healthcare contextual accuracy
Production-grade data workflows with Airflow/Spark, testing, logging, and CI/CD
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