Prof. Gresky Gutiรฉrrez Sรกnchez | Analysis | Best Researcher Award

Prof. Gresky Gutiรฉrrez Sรกnchez | Analysis | Best Researcher Award

Prof. Gresky Gutiรฉrrez Sรกnchez, Pnud/Senacyt, Panama.

Gresky Gutiรฉrrez Sรกnchez is an accomplished statistician with extensive expertise in multivariate analysis, data modeling, and applied research ๐Ÿ“Š. He specializes in R and Python programming for advanced statistical solutions and has contributed significantly to bibliometric studies and innovation impact assessments. Currently pursuing a Ph.D. in Multivariate Statistics at the University of Salamanca ๐ŸŽ“, his research explores the application of Bootstrap techniques in sparse solutions. With a background in academia and governmental organizations, he has played a key role in national research projects in Panama ๐Ÿ‡ต๐Ÿ‡ฆ. His passion lies in transforming data into actionable insights for science and policy ๐Ÿ“ˆ.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Gresky Gutiรฉrrez Sรกnchez

Gresky Gutiรฉrrez Sรกnchez is a distinguished statistician with extensive expertise in multivariate analysis, bibliometric research, and innovation impact assessment. His work spans both academic research and governmental applications, making significant contributions to data-driven decision-making in policy and scientific development. His research on Bootstrap techniques for sparse statistical solutions is advancing high-dimensional data modeling, while his machine learning and Big Data expertise enhances predictive analytics across multiple disciplines. Given his scientific contributions, international collaborations, and research excellence, he is a strong candidate for the Best Researcher Award.

๐ŸŽ“ Education & Experience

  • Ph.D. (In Progress, 2025) โ€“ Multivariate Statistics, University of Salamanca, Spain ๐Ÿ‡ช๐Ÿ‡ธ

    • Thesis: “Bootstrap como Nuevo Enfoque para Estabilizar Soluciones Sparse”

  • M.Sc. (2021) โ€“ Advanced Multivariate Data Analysis & Big Data, University of Salaman

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  • B.Sc. (2017) โ€“ Statistical Engineering, University of Panama ๐Ÿ‡ต๐Ÿ‡ฆ

๐Ÿ’ผ Work Experience:

  • Statistical Expert, SENACYT (Current) ๐Ÿ›๏ธ

    • Leading data-driven research on innovation and scientific development.

  • Data Analyst & Researcher, University of Salamanca (2020-2023) ๐Ÿงช

    • Conducted bibliometric studies and statistical modeling for research projects.

  • Visiting Professor, University of Milagro, Ecuador (2022-2023) ๐ŸŽ“

    • Taught courses in multivariate analysis and applied statistics.

  • Statistical Consultant, Auditsa Panamรก (2018-2019) ๐Ÿ“Š

    • Developed analytical tools for financial audits and operational reviews.

๐Ÿš€ Professional Development

Gresky Gutiรฉrrez Sรกnchez is a dedicated statistician and researcher passionate about leveraging data science for innovation and policy-making ๐Ÿ”๐Ÿ“ˆ. His expertise in multivariate analysis, machine learning, and bibliometrics has enabled him to contribute to impactful research in academia and government sectors. He has designed statistical strategies for national innovation projects, collaborated on international studies, and trained professionals in statistical modeling and data analysis ๐ŸŽ“. As a speaker and educator, he actively shares knowledge on emerging trends in statistics and Big Data. His work bridges the gap between theory and real-world applications, fostering data-driven decision-making across disciplines.

๐Ÿ”ฌ Research Focusย 

Greskyโ€™s research centers on multivariate statistics, computational methods, and bibliometric analysis ๐Ÿ“Š. His Ph.D. work explores Bootstrap methodologies to enhance sparse statistical models, optimizing predictive accuracy for high-dimensional datasets. He is also deeply involved in scientometric studies, assessing scientific collaboration and innovation trends globally ๐ŸŒ. Additionally, his expertise in machine learning and Big Data analytics allows him to develop predictive models for economic and scientific impact assessments ๐Ÿ“‰. His work integrates statistical theory with real-world applications, particularly in policy research, helping governments and institutions make data-driven decisions to foster sustainable development and research growth.

๐Ÿ† Awards & Honors

  • Research Fellowship, University of Salamanca (2021-2023) ๐ŸŽ“

  • Best Statistical Paper Presentation, VI National Congress of Statistics, Panama (2024) ๐Ÿ“œ

  • Government Recognition for Contributions to Innovation Research, SENACYT (2023) ๐Ÿ…

  • Scientific Collaboration Award, Bibliometric Analysis in the Andean Region (2022) ๐ŸŒŽ

  • Merit Scholarship for Masterโ€™s Studies, University of Salamanca (2019-2021) ๐ŸŽ–๏ธ

Publication Top Notes:

Scientific Collaboration and Sustainable Development: A Bibliometric Analysis of the Andean Region, Panama, and Spain