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Pharma & Clinical Trials
Statistical fraud detection, QTL frameworks, and survival analysis.
Statistical Monitoring Dashboards
JMP-equivalent R Shiny dashboards for fraud detection flags.
2,000+ studies35,000 sites
Read full case →Fraud Detection Framework
Designed and executed statistical fraud detection using demographic, cluster, adverse event analysis.
2,000+ studiesRegulatory submissions
Read full case →R Package Development (Statistical Monitoring)
Built R Shiny dashboards with modals, accuracy measurement, logging, automated report generation.
35,000+ sites
Read full case →QTL – R Package Creation
Built 2 R packages using Golem with Bayesian methodology and Monte Carlo simulation.
Audit-ready reporting
Read full case →QTL – Testing & CI/CD
Unit tests (devtools, shinytest2, testthat) and automated deployment with GitHub Actions.
CI/CD pipeline established
Read full case →QTL – ML Pattern Recognition
ML models for adverse event pattern recognition for regulatory compliance.
Regulatory compliance ready
Read full case →QTL – TLF Automation
Automated Table, Listing, Figure reports using R-markdown.
Accurate, timely data insights
Read full case →Survival Analysis Thesis
Comparative evaluation of 6 survival models on orthopedic disease recurrence data (primary field data collection).
Optimal model identification
Read full case →