I'm a data analytics and software development professional with deep experience in product development, statistical modeling, and user education. Currently, I serve as Director of Training and Applications at Aptech Systems, where I lead product development and user enablement for GAUSS, a platform for advanced statistical computing.
- Build and test statistical modeling tools for time series, econometrics, and forecasting
- Develop automated test suites for analytical software libraries
- Design technical documentation and training workflows to support user onboarding
- Use AI tools like ChatGPT to accelerate development and improve support and content strategy
- Collaborate across product, engineering, and customer teams to deliver technical solutions that work
- Languages: GAUSS, Python, R, SQL, Markdown
- Specialties: Time Series Analysis, Panel Data, Forecasting, Econometrics
- Dev Practices: Testing, Documentation, Product Feature Planning
- AI Tools: ChatGPT, Claude, Gemini (Prompt Engineering Certified)
Here are a few projects I’ve worked on or contributed to (see pinned repos below for more):
aptech/tspdlib– A collaborative GAUSS library developed with a GAUSS power user, offering advanced tools for panel data, time series, and dynamic model estimation. Built to expand GAUSS capabilities with flexible, high-performance procedures for applied researchers.aptech/docs– The official GAUSS documentation repository, housing user guides, function references, and tutorials. I manage and contribute to this content to ensure clear, accurate, and accessible resources for GAUSS users across research, education, and applied analytics.aptech/blog– Source content for the GAUSS analytics blog, featuring technical tutorials, applied econometrics, and programming best practices. I lead content development, author blog posts, and manage publishing to support user education and product adoption.
- GitHub
- Aptech Blog – Educational content and tutorials I author and manage