Über Écio
I am an active researcher with a PhD focused on the field of ecology and evolution, and in parallel, several specializations in different areas of data science.
In the field of ecology and environmental management, I have in-depth experience in functional and phylogenetic ecology, geographical niche, biological invasion, landscape ecology, land use and biodiversity conservation, climate forecasting, forestry, and long-term surveys.
Related to data science, my pronounced expertise relies on:
- I have in-depth knowledge of the R language and secondarily of Python;
- Extensive experience in statistical modeling in its various aspects, with special knowledge in predictive models, from typical linear models to machine learning;
- Experience in working with the creation, structuring, and analysis of large databases;
- Aptitude in the production of analytical routines (e.g., coding scripts);
- Generation of analytical reports;
- Data visualization;
- Training of teams in analytical routines.
I am the director of the Beta Analitica venture (which manages a team of highly qualified professionals in Latin America, offering services and courses in various areas of data science.
I was the first author of textbooks focused on predictive modeling (linear and non-linear) in R;
I have analytical routines publicly available on different platforms (e.g., GitHub, FigShare, Zenodo, YouTube).
More information about my work:
Portugiesisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Spanisch
Verhandlungssicher
Deutsch
Konversationssicher
Tschechisch
Grundkenntnisse
Katalanisch
Grundkenntnisse
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- Universidad de Zaragoza, Departamento de Geografía y Ordenación del Territorio,Doctor Collaborator Junior (N2)FORSCHUNGNovember 2025 - Heute (7 Monate)Zaragoza, SpainPerformed Function: Junior Collaborator Junior (N2; Junior Research Associate), working as a data analyst performing simulations of wildfire risks, test supervised learning algorithms for predicting and mapping firer risk probabilities, create Python package for reaching faster data processing.
- CREAF - Centre for Ecological Research and Forestry Applications, Autonomous University of BarcelonaPostdoctoral researcherFORSCHUNGDezember 2023 - November 2025 (1 Jahr und 11 Monate)Barcelona, SpanienPerformed Function: Postdoctoral researcher at the Global Ecology Unit acting as data analyst for macroecological and ecosystem functioning research
- Universidade Federal de Viçosa-UFV,Collaborator ResearcherFORSCHUNGOktober 2022 - Heute (3 Jahre und 8 Monate)Viçosa, BrasilienPerformed Function: Collaborator Researcher acting as data analyst employing machine learning prediction for forest management.Lecturer of subjects:-Introduction to Python Language-Machine learning fundamentals 3-Interactive analysis and statistics with R-AI for supporting scientific writing
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Ausbildung und Abschlüsse
- Doctor in BotanyUniversidade Federal de Viçosa-UFV - Brazil2017PhD in Botany
- Doctoral internship inUniversity of Münster and University Bayreuth - Germany2015Doctoral internship in
Zertifizierungen
- Fundamentals of Python Language for Data Analysis and Data Science - Intermediate LevelData Science Academy2023