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.

Detection of abnormal delivery patterns and potential obstetric claim anomalies using JKN administrative claims data.

Using Power BI to analyze outpatient claims data to find out the high utilizers and the economic impact

Healthcare machine learning research portfolio focused on predictive modeling, Medicare claims analytics, and healthcare cost prediction using CMS data.

HL7 FHIR R4 → OMOP CDM → Snowflake → dbt → Dagster. RCM: classifies 257K denied claims by root cause — systematic vs. documentation failures. RWE: T2D+CKD metformin utilization cohort. 12 dbt models, 83 tests, CI green.

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…

Python toolkit for cleaning and feature engineering Japanese health insurance claims data.

SQL-based analytic warehouse that converts administrative health insurance claims into patient episodes, referral patterns, and utilization indicators.

SQL-first healthcare claims analytics project that maps ICD/CPT/NPI to provider cost variation and generates client-ready utilization insights.

CMS Price Transparency Rule compliance delivered via HealthSparq integration. Personalized cost estimates powered by real-time claims data across web and mobile.

Claims experience record for a Group Health Insurance policy for 3 underwriting years was used to extract the amounts related to each claim and summarized with regards to the Inception Date of the policy.

Excel healthcare spend & utilization dashboard (Power Query + Power Pivot) using synthetic claims data (2019–2024).

A reference Python notebook demonstrating an orchestration pattern for running multiple SQL queries against multiple Oracle databases, combining results in different ways per query, and distributing the outputs by email — all wrapped in resilient error handling so a single database outage doesn't break the run.

End-to-end value-based care analytics system: SQL provider scoring model, Python ROI simulation for patient steering, KPI tracking, and Tableau dashboard specs built on 50K synthetic claims across 80 providers.

Medicare Advantage payer analytics on CMS DE-SynPUF: Snowflake + dbt medallion warehouse, HEDIS-style 30-day readmission measure, chronic condition cohort analytics (CHF/COPD/CKD/IHD/diabetes), deployed Streamlit dashboard. Public synthetic data only.