Mid-level Data Scientist specializing in cloud ML, MLOps, and predictive analytics
Dallas, TXData Scientist4 years experienceMid-LevelHealthcareHealthcare ITFinancial Services
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About
NLP/ML engineer with hands-on healthcare and support-ticket text experience, building clinical-note structuring and semantic linking systems using spaCy, BERT clinical embeddings, and FAISS. Emphasizes production-grade delivery (Airflow/Databricks, PySpark, Docker, AWS/FastAPI/Lambda) and rigorous validation via clinician-labeled datasets, retrieval metrics, and user feedback.
Experience
Data ScientistUnitedHealth Group
Data ScientistStridez Solutions
Data ScientistRamTech
Education
JNTUHbachelor, Information Technologies
University of north Texasmaster, Data engineering in computer science
Key Strengths
Built NLP pipeline to structure clinical notes using spaCy + BERT clinical embeddings
Designed relationship-mapping layer combining embeddings, structured clinical features (ICD/med classes/time windows), and clinician-labeled validation
Hybrid entity resolution approach (deterministic + probabilistic + embedding similarity) with precision/recall/pairwise F1 evaluation
Improved semantic search/data linking using FAISS vector index and domain fine-tuning; measured gains with offline metrics and user feedback
Production-grade Python workflow engineering (modular design, orchestration with Airflow/Databricks, distributed processing with PySpark, containerized AWS deployments)
Clear prototype-to-production process using retrieval metrics (precision, MRR), stability checks, and stakeholder alignment
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