🎯 Senior Manager, Statistical Programming @ Regeneron
💻 SAS & R programmer | Real-World Evidence (RWE) | HEOR & Medical Affairs | Standards & SDLC
📊 Conference Presenter (PHUSE, PharmaSUG) | Lifelong Learner (OMSCS @ Georgia Tech)

I’m a statistical programmer with 10+ years of experience delivering regulatory submission deliverables, real-world evidence analyses, and Medical Affairs publications. My expertise spans SAS (Base/Advanced, ADaM/SDTM, Macros), R (Shiny, tidyverse, data.table), SQL, Unix/Linux, and Git/GitHub.

• 👀 I enjoy building standardized macro libraries, interactive dashboards, and reproducible workflows that make analysis more efficient, transparent, and impactful.
• 🌱 I’m currently learning JavaScript

Here are some examples of my public work (using simulated or open datasets):

• 📂 Flexible Table Generator (SAS/R demo)
  Example of a reusable macro library for generating clinical tables with validation workflows.

• 📂 R Shiny Outcomes Dashboard
  Interactive app for visualizing longitudinal outcomes and survival curves using open data.

• 📂 Observational Methods in R
  Propensity score matching and survival analysis using public datasets (MIMIC/CMS PUF).

• 📂 GitHub Workflow Example
  Demonstrates use of Git branching, pull requests, and validation scripts for SDLC compliance.

• SAS: Base & Advanced, SDTM/ADaM, Macros, TLFs, GTL/SGPLOT
• R: Shiny, tidyverse, data.table, RMarkdown/Quarto
• Python: pandas, scikit-learn, numpy
• Databases: SQL, Teradata, claims/EHR (simulated/public datasets)
• Other: Git/GitHub, Unix/Linux shell, D3.js for visualization

• 💼 LinkedIn
• 📄 Resume
• 📝 Conference Presentations

✨ All repositories here use public or simulated data and are intended to demonstrate programming and workflow capabilities.