About
My Journey
My journey reflects my passion for technology and data, which I have cultivated since my high school years, where I participated in math and programming competitions. Although my academic background began in psychology, my interests have always been linked to data analysis and technology.
During my undergraduate degree in Psychology, I had the opportunity to work as a research assistant, where I managed physiological data for experiments, which allowed me to merge my interest in technology with my academic training. This work ignited in me a fascination for data science, which I later continued exploring in my graduate studies.
Academic Background
PhD in Quantitative Psychology (Not completed) The Ohio State University Specialization in advanced statistical modeling and development of analytical tools for complex problems.
Master’s in Applied Educational Research Specialization in quantitative studies. Thesis on the development of a digital knowledge model and its application in upper secondary education.
Bachelor’s in Psychology Experience as research assistant managing physiological data for experiments.
Professional Experience
Data Scientist & Quantitative Analyst
- Interactive Dashboard Development: Creation of R Shiny applications for civic data and survey visualization, with production deployment
- Advanced Statistical Analysis: Development of complex statistical models and multivariate analysis for applied research
- Survey Research: Design, analysis, and validation of measurement instruments and citizen satisfaction studies
- DevOps & Deployment: Infrastructure management with Docker, Traefik, and SSL/TLS configuration for production applications
- University Teaching: Teaching measurement in psychology and statistics at the university level
- Tool Development: Creation of analytical pipelines and data visualization tools
Technical Skills
Programming Languages
R (Advanced), Python, SQL, Quarto/R Markdown
Application Development
R Shiny, interactive dashboards, web visualization, user interfaces
Statistical Analysis
Multivariate models, psychometric analysis, predictive modeling, survey analysis
Data Visualization
ggplot2, tidyverse, leaflet, plotly, automated reports
DevOps & Infrastructure
Docker, Traefik, Let’s Encrypt, reverse proxy, CI/CD
Tools & Technologies
Git/GitHub, GitHub Actions, Quarto, RStudio, SPSS, Jupyter, SQLite
Professional Philosophy
Today, my portfolio reflects a unique combination of knowledge in psychology, education, and data science. I specialize in advanced statistical analysis, creating predictive models, and developing analysis and presentation tools.
My goal is to use my multidisciplinary experience to address complex data problems and offer evidence-based solutions while expanding my horizons in new disciplines by leveraging these skills.
Contact: Frankleyvacastro@gmail.com | GitHub