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Anuj Shah
Senior Data Analyst specializing in cloud data platforms, experimentation, and predictive analytics
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Healthcare data/ML practitioner with experience at UnitedHealth Group building production ETL and streaming pipelines (Python, BigQuery, Kafka) that unify EHR, IoT device, and lab data for patient risk prediction. Also implemented embedding-based semantic search/linking for noisy clinical notes via domain adaptation and rigorous validation with clinical stakeholders; previously built churn prediction at DirecTV using XGBoost.
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Key Strengths
- Built end-to-end healthcare ETL integrating EHR, IoT streaming, and lab data (Python, BigQuery, Kafka)
- Applied ML (scikit-learn/XGBoost) to predict patient risk/complications and treatment adherence patterns
- Strong entity resolution approach combining normalization, deterministic rules, and fuzzy matching; validated with clinical teams
- Production-grade data quality and compliance focus (schema checks, automated audits, HIPAA considerations)
- Implemented embedding-based semantic linking/search for clinical notes; improved over keyword baselines via domain adaptation and text cleaning
- Operational rigor in production workflows (Airflow scheduling, monitoring/alerts, retries, postmortem hardening)
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