Gresky Gutiérrez Sánchez is an experienced statistician specializing in data analysis and statistical modeling. Currently, he works as an expert in statistics and data analysis at SENACYT, where he designs advanced methodologies to evaluate national innovation and research projects. He holds a bachelor’s degree in statistical engineering from the University of Panama, a master’s in advanced multivariate data analysis and big data from the University of Salamanca, and he is also pursuing a Ph.D. in applied multivariate statistics at the same institution. His expertise includes statistical modeling, data visualization, and programming in R and Python, complemented by his teaching experience at the University of Salamanca and Ecuador’s State University of Milagro. He has co-authored several scientific articles and presented at international conferences, reflecting his dedication to applying statistical knowledge to foster innovation and development.