Statistical fraud detection, QTL frameworks, and survival analysis.
JMP-equivalent R Shiny dashboards for fraud detection flags.
Designed and executed statistical fraud detection using demographic, cluster, adverse event analysis.
Built R Shiny dashboards with modals, accuracy measurement, logging, automated report generation.
Built 2 R packages using Golem with Bayesian methodology and Monte Carlo simulation.
Unit tests (devtools, shinytest2, testthat) and automated deployment with GitHub Actions.
ML models for adverse event pattern recognition for regulatory compliance.
Automated Table, Listing, Figure reports using R-markdown.
Comparative evaluation of 6 survival models on orthopedic disease recurrence data (primary field data collection).