
Zeltzin Liévanos
@zeltzinlivanos
I turn complex research data into validated statistical insights and actionable reports.
What I'm looking for
I've analyzed a multi-institutional educational dataset of 1,438 participants across 10 institutions, transforming raw survey data into reproducible, publication-ready statistical results.
In my doctoral research at Universidad Autónoma del Estado de Morelos, I clean, validate, structure, and interpret complex datasets using R/RStudio. My work includes confirmatory factor analysis, structural equation modeling, reliability and validity analysis, measurement invariance, group comparisons, and model-fit evaluation.
As a visiting researcher at Université de Montréal, I collaborated on quantitative methods, educational measurement, and population-level data interpretation in English, French, and Spanish academic environments.
I've also led research activities at CoSDAc and supported FIRA projects through information collection, analysis, reporting, and practical recommendations for multidisciplinary stakeholders.
Experience
Work history, roles, and key accomplishments
Quantitative Researcher / Doctoral Research
Universidad Autónoma del Estado de Morelos (UAEM)
Jan 2022 - Jan 2026 (4 years)
Managed and analyzed a multi-institutional dataset of 1,438 participants, performing advanced statistical modeling including CFA and SEM. Evaluated data quality and measurement performance, and communicated findings to multidisciplinary collaborators.
Education
Degrees, certifications, and relevant coursework
Universidad Autónoma del Estado de Morelos (UAEM)
Doctor of Philosophy, Education
2022 - 2026
Ph.D. in Education with a focus on quantitative research, statistical modeling, and educational measurement.
Universidad Autónoma del Estado de Morelos (UAEM)
Master of Science, Environmental Engineering
2015 - 2017
Master's degree in Environmental Engineering and Sustainable Technologies.
Universidad Autónoma Chapingo
Bachelor of Engineering, Agroindustrial Engineering
2007 - 2012
Bachelor's degree in Agroindustrial Engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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