Researcher · Data Science Consultant · Educator
Econometrics · Psychometrics · Data Science · Reproducible Research · Artificial Intelligence
I work at the intersection of Econometrics, Psychometrics, Data Science, Reproducible Research, and Artificial Intelligence, helping researchers and institutions turn complex data into sound evidence, better decisions, and practical learning resources.
I am a Brazilian researcher, consultant, and professor with a background in Finance, Applied Statistics, and Quantitative Methods. My early work was grounded in Econometrics; in recent years, I have expanded that foundation into Psychometrics, Machine Learning, and Reproducible Workflows.
| Experience | Projects | Domains | Signature focus |
|---|---|---|---|
| 20+ years in quantitative analysis | 150+ documented projects | Finance, Health, Psychology, Education, Epidemiology, Business, Economics | Open science, psychometrics, and reproducible workflows |
| Research | Consulting | Education |
|---|---|---|
| Quantitative methods, latent variable modeling, financial behavior, open science, and applied analytics | Statistical modeling, measurement validation, forecasting, data analysis, and methodological design | Tutorials, open educational resources, and public-facing scientific communication for applied social scientists |
A significant part of my recent work is devoted to translating advanced quantitative methods into practical, accessible materials.
| Resource | Description |
|---|---|
| Open Science in Practice | A practical resource on open science workflows and implementation. |
| Best Practices for Your Confirmatory Factor Analysis | Tutorial material for CFA using JASP and lavaan. |
| Article Reproducibility Template & Environment | A template and environment for reproducible scientific writing. |
| Psico&Econo_METRIA | Educational videos on quantitative methods for applied social scientists. |
My publications and technical work include themes such as:
- confirmatory and exploratory factor analysis
- structural equation modeling
- financial well-being and behavioral finance
- corporate governance and capital markets
- reproducibility and open science practices
- quantitative methods for applied social sciences
Full list: phdpablo.com/papers.html
- open and reproducible research workflows
- AI-assisted computational literacy for applied scientists
- psychometric modeling and measurement quality
- predictive analytics for real-world decision-making
- educational content for data analysts and researchers
Methods and tools
Quantitative methods
Descriptive statistics, ANOVA, regression, GLM, GEE, GLMM, multivariate analysis, time series, spatial analysis, SEM, IRT, survival analysis, causal and predictive modeling.
Machine learning
Lasso, Ridge, KNN, Random Forests, Bagging, Boosting, Neural Networks, SVM, decision trees, clustering, and dimensionality reduction.
Tools
R, Python, JASP, jamovi, SQL, Git/GitHub, Quarto, Markdown, Docker, Power BI, Tableau, SPSS, and Stata.
Website · LinkedIn · GitHub · YouTube