Pavel V.

A background as a quantitative sociologist seems to be a good fit for this project. I hold a Bachelor's degree in the Sociology and Social Informatics program and a Master's degree in the Contemporary Social Analysis: Quantitative Track program. My main disciplines included data analysis (linear/logistic regressions, SEM, Cluster Analysis, Econometrics, Machine Learning). Additionally, I worked as a junior researcher in a university lab and participated in several global quantitative projects as a data analyst. My primary tool for data analysis is R (Posit). As an additional demonstration of my competence for this project, I can provide an example of my latest academic work — a preprint of a paper based on my Master's thesis. Unfortunately, due to the events of the last two years, we did not submit this paper for publication in a journal. Nevertheless, it serves as strong evidence of my skills in data analysis, particularly in regression analysis and scale development, as well as my experience in academic writing. Moreover, my three years of experience working as a classical data analyst could also prove beneficial for this project.