An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
Python toolkit for Medicaid claims data analysis — preprocessing, cleaning, risk adjustment (Elixhauser, CDPS-Rx), quality measures (PQI, BETOS, low-value care), and patient-level analytic file construction for MAX and TAF CMS data. Built on Dask for scalable processing of large-scale healthcare claims datasets.
Healthcare claims analysis of lung cancer screening and insurance coverage using procedure and diagnosis codes.
Using Power BI to analyze outpatient claims data to find out the high utilizers and the economic impact
Detection of abnormal delivery patterns and potential obstetric claim anomalies using JKN administrative claims data.
Healthcare machine learning research portfolio focused on predictive modeling, Medicare claims analytics, and healthcare cost prediction using CMS data.
End-to-end SQL analytics sample for healthcare claims and quality monitoring — data quality, KPI rollups, readmission analysis, provider benchmarking, and a weighted quality-review priority score. SQLite-compatible, self-contained.
Sorts 257K denied claims into systematic (single upstream fix, $1.2M+ recoverable) vs. documentation failures. FHIR R4 → Snowflake → dbt → Dagster · 73 dbt + 40 pytest tests · CI green
Python toolkit for cleaning and feature engineering Japanese health insurance claims data.
Impact Analysis of the Policy for Access of Administrative Data in France : A Beforefter Study. Vincent LOOTEN and Marie SIMON Digital Personalized Health and Medicine L.B. Pape-Haugaard et al. (Eds.) © 2020 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distri…
Estimating the rare disease diagnostic odyssey (symptom onset to diagnosis) from claims data for six conditions, treating onset as latent under censoring and finite lookback. Estimator, bias decomposition and a synthetic validation harness.
Member-level payer claims lakehouse on CMS synthetic Medicare data: contract-gated yearly arrivals, versioned bronze, dbt silver on DuckDB, ICD-10 validation by fiscal year, exact member-months. Azure and Spark milestones planned.
Self-directed portfolio project: batch pipeline loading CMS synthetic Medicare claims into a dbt-tested PostgreSQL warehouse with quarantine, decimal reconciliation, gated publishing, Airflow and a Streamlit dashboard.
Non-negotiable dbt tests for healthcare analytics engineering, claims pipelines, and AI readiness.
CMS Price Transparency Rule compliance delivered via HealthSparq integration. Personalized cost estimates powered by real-time claims data across web and mobile.
SQL-first healthcare claims analytics project that maps ICD/CPT/NPI to provider cost variation and generates client-ready utilization insights.
SQL Server pipeline turning CMS Medicare claims into KPI reports: T-SQL cleaning, data quality checks, and a one-click Excel/VBA dashboard.
Reconciling fragmented EHR, Claims, Registry, and Clinical Trial data in Excel and SQL - a healthcare analytics portfolio project
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