Frank Leyva
Data Scientist | Quantitative Analyst | Researcher
Transforming complex data into evidence-based solutions through advanced statistical analysis, predictive modeling, and data visualization.
Welcome
I am a data scientist with multidisciplinary training in psychology, education, and quantitative analysis. My passion is using advanced statistical methods and data science tools to solve complex problems and generate actionable insights.
With experience in quantitative research, statistical model development, and large-scale data analysis, I specialize in turning information into knowledge that drives strategic decisions.
Production Projects
⭐ Espejo Ciudadano - Civic Dashboard
Survey Analytics
Production R Shiny dashboard serving real-time analytics on 200+ survey variables to municipal planning stakeholders. Deployed with Docker, Traefik, and MySQL backend.
Portfolio Website
Web Development
Development of a professional bilingual website using Quarto, R, and GitHub Actions for automated publishing.
Featured Analysis
Survey Scale Optimization Analysis
Survey Methodology & Data Science
Evaluation of response scale efficiency in citizen satisfaction surveys. Using histogram comparison techniques in R, I identified optimal scale lengths while balancing data quality with respondent cognitive load—demonstrating how to translate technical analysis into actionable business recommendations.
Key insight: Recommended maintaining 10-point scales for consistency despite 60% of questions supporting reduction to 7 points.
Validation Report
Survey Analytics
Comprehensive validation analysis ensuring data quality and reliability for civic engagement surveys.
Areas of Expertise
Statistical Analysis
Advanced modeling, multivariate analysis, and applied quantitative methods
Data Science
R, Python, data visualization, and analytical pipeline development
Interactive Dashboards
R Shiny, interactive visualization, and data web applications
Applied Research
Study design, survey analysis, and quantitative methodology
DevOps & Deployment
Docker, Traefik, SSL/TLS, CI/CD, and infrastructure management
Web Development
Quarto, R Markdown, GitHub Actions, and automated publishing