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Santhoshi Priya Sunchu
Mid-level Data Scientist specializing in NLP and predictive modeling
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AI/ML practitioner in healthcare/insurance (Blue Cross Blue Shield) who built and deployed a production NLP system to classify patient risk from unstructured clinical notes. Experienced in end-to-end pipeline orchestration (Airflow, AWS Step Functions/Lambda/SageMaker) and real-time optimization (BERT to DistilBERT on AWS GPUs), with strong clinician collaboration to drive adoption.
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Key Strengths
- Built and deployed production NLP clinical risk classification using transformer models
- Improved messy clinical note data quality via custom medical dictionary and Pandas preprocessing pipelines
- Optimized real-time inference by moving from BERT to DistilBERT and using AWS GPU infrastructure
- Designed end-to-end orchestration for ML/NLP workflows with Airflow and AWS Step Functions
- Strong evaluation discipline: precision/recall/F1 for imbalanced classes plus latency/throughput/failure-rate for real-time systems
- Effective collaboration with clinicians to refine labels and improve explainability/trust for adoption
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