About
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.
In my Master’s in Applied Educational Research, I specialized in quantitative studies, culminating with a thesis that developed a model of digital knowledge and its application in upper secondary education. This work reinforced my interest in statistics and data analysis, skills that I later applied in teaching measurement in psychology and statistics at the university level.
My path led me to The Ohio State University, where I began a doctorate in Quantitative Psychology. Although I did not complete the doctorate, it was here where I immersed myself in advanced statistical modeling and the development of specific tools for complex problems, consolidating my data science skills.
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.