Prof. Gresky GutiΓ©rrez SΓ‘nchez | Analysis | Best Researcher Award

Prof. Gresky GutiΓ©rrez SΓ‘nchez | Analysis | Best Researcher Award

Prof. Gresky GutiΓ©rrez SΓ‘nchez, Pnud/Senacyt, Panama.

Gresky GutiΓ©rrez SΓ‘nchez is an accomplished statistician with extensive expertise in multivariate analysis, data modeling, and applied research πŸ“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 πŸŽ“, 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 πŸ‡΅πŸ‡¦. His passion lies in transforming data into actionable insights for science and policy πŸ“ˆ.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Gresky GutiΓ©rrez SΓ‘nchez

Gresky GutiΓ©rrez SΓ‘nchez 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.

πŸŽ“ Education & Experience

  • Ph.D. (In Progress, 2025) – Multivariate Statistics, University of Salamanca, Spain πŸ‡ͺπŸ‡Έ

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

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

  • ca πŸŽ“

  • B.Sc. (2017) – Statistical Engineering, University of Panama πŸ‡΅πŸ‡¦

πŸ’Ό Work Experience:

  • Statistical Expert, SENACYT (Current) πŸ›οΈ

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

  • Data Analyst & Researcher, University of Salamanca (2020-2023) πŸ§ͺ

    • Conducted bibliometric studies and statistical modeling for research projects.

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

    • Taught courses in multivariate analysis and applied statistics.

  • Statistical Consultant, Auditsa PanamΓ‘ (2018-2019) πŸ“Š

    • Developed analytical tools for financial audits and operational reviews.

πŸš€ Professional Development

Gresky GutiΓ©rrez SΓ‘nchez is a dedicated statistician and researcher passionate about leveraging data science for innovation and policy-making πŸ”πŸ“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 πŸŽ“. 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.

πŸ”¬ Research FocusΒ 

Gresky’s research centers on multivariate statistics, computational methods, and bibliometric analysis πŸ“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 🌍. Additionally, his expertise in machine learning and Big Data analytics allows him to develop predictive models for economic and scientific impact assessments πŸ“‰. 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.

πŸ† Awards & Honors

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

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

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

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

  • Merit Scholarship for Master’s Studies, University of Salamanca (2019-2021) πŸŽ–οΈ

Publication Top Notes:

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

Mr. Md. Saikat Hossen | Data analysis | Best Researcher Award

Mr. Md. Saikat Hossen | Data analysis | Best Researcher Award

Mr. Md. Saikat Hossen, University of Barishal, Bangladesh

Md. Saikat Hossen is a 3rd-year BSc student in Soil and Environmental Sciences at the University of Barishal, Bangladesh. Skilled in SPSS, R, GIS, and Canva, he combines technical and creative expertise in data analysis, graphic design, and research. Saikat has authored research papers, attended multiple workshops, and won 1st place in a poster design competition. Currently, he is a Research Intern at the Plasma Cell Research Center, focusing on immune responses to environmental pollutants. Dedicated to impactful research and problem-solving, he actively contributes to student organizations and research initiatives. πŸŒπŸ’‘

Professional Profile:

Orcid

βœ…Β Suitability for Best Researcher Award

Md. Saikat Hossen demonstrates strong potential as a candidate for theΒ Best Researcher AwardΒ despite being an early-career researcher. His multidisciplinary expertise in environmental sciences, data analysis, and computational research positions him as a promising and impactful contributor to the field.

πŸŽ“ Education & Experience

  • BSc in Soil and Environmental Sciences – University of Barishal (2023–Present) 🎯
  • Research Intern – Plasma Cell Research Center (July 2024 – January 2025) πŸ§ͺ
    • Researching immune responses to environmental pollutants using computational and experimental methods.
  • IT and Research Enthusiast – University of Barishal (2023–2024) πŸ’»
    • IT Secretary at BURHES, contributed to Quizzical 2.0 and Disaster Hackathon 2.0.
  • HSC – KafilUddin Degree College (2021) πŸ“š
    • GPA 4.50 in Science Group
  • SSC – Hazirpara Hamidia High School (2019) πŸ“–
    • GPA 4.06 in Science Group

πŸš€ Professional Development

Md. Saikat Hossen is actively developing his expertise in data analysis, research, and graphic design. He is proficient in SPSS, R, STATA, ArcGIS, and Adobe Illustrator. His research at the Plasma Cell Research Center focuses on modeling interactions between chemicals and proteins to predict health consequences of air pollution. Saikat has gained valuable experience as an IT Secretary at BURHES and through participation in Quizzical 2.0 and Disaster Hackathon 2.0. His multidisciplinary skills enable him to approach environmental challenges with innovative solutions. πŸŒπŸ“Š

πŸ§ͺ Research Focus

Saikat’s research primarily focuses on environmental health and data analysis. At the Plasma Cell Research Center, he explores the impact of environmental pollutants on immune responses using computational and experimental approaches. His research involves modeling chemical-protein interactions to predict the health outcomes of air pollution. Saikat is particularly interested in soil health, pollution control, and sustainable agriculture. His work reflects a strong commitment to improving environmental health through data-driven insights and innovative methodologies. πŸŒΏπŸŒŽπŸ’»

πŸ† Awards & Honors

  • πŸ₯‡ 1st Place – Poster Design Competition (2023)
  • 🌟 Voluntary Certificates – Recognized for contributions to BURHES (2023–2024)
  • πŸ“œ GIS and Research Certificates – Awarded for excellence in geospatial analysis and research (2024)

Publication Top Notes:

Modeling the Interactions Between Chemicals and Proteins to Predict the Health Consequences of Air Pollution