I am building a technical portfolio around reproducible analytics, public-policy data products, automation, and AI-assisted development.

My background combines applied statistics, physics, mathematics, economics, university teaching, R programming, survey microdata analysis, and institutional analytics.

enemduR is an R package for reproducible analysis of Ecuador's ENEMDU microdata.

It is designed as analytical infrastructure for standardized data reading, survey-design-aware estimation, methodological validation, representativeness assessment, poverty, income, NBI, and IPM/TPM workflows.

• Repository: https://github.com/yerovi84/enemduR
• Documentation: https://yerovi84.github.io/enemduR/

A planned Quarto data product powered by enemduR.

The goal is to build a static, reproducible, public-facing analytical site for poverty, extreme poverty, income, representativeness, and methodological transparency using ENEMDU microdata.

This product will demonstrate how an R package can become the analytical engine behind a professional data product.

A planned anonymized and generalized version of a reservation and ticketing system originally developed with Google Apps Script.

The public version will focus on reusable architecture for:

• seat reservations;
• QR-based digital tickets;
• automated email delivery;
• validation workflows;
• Google Sheets integration;
• lightweight event operations.

I am also developing workflows that combine ChatGPT, Codex, GitHub, R, Quarto, and automation tools to support reproducible software development, reporting automation, and technical portfolio building.

• R package development
• Quarto data products
• Survey microdata analysis
• Complex survey estimation
• Public-policy indicators
• Statistical validation and representativeness
• Google Apps Script automation
• Reporting automation
• GitHub-based technical portfolios
• AI-assisted development workflows
• Agents for reproducible analytical systems

• R
• Quarto
• pkgdown
• testthat
• Git and GitHub
• Google Apps Script
• JavaScript
• HTML and CSS
• Python
• Survey microdata workflows
• Reproducible reporting

My goal is to build a coherent ecosystem of technical products that show how reproducible analytics can support evidence-based decision-making.

The portfolio starts with enemduR as the analytical engine, continues with Quarto-based public data products, expands into Apps Script automation, and grows toward AI-assisted analytical workflows and agents.