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Écio DinizÉD

Écio Diniz

Data Analyst | ML & Quantitative Ecologist

€105/day
Barcelona, ES
8-15 years

Average response time: 1 hour

About 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:
  • Portuguese

    Native or bilingual

  • English

    Fluent

  • Spanish

    Fluent

  • German

    Conversational

  • Czech

    Basic

  • Catalan

    Basic

Remote only
Primarily works remotely

Experience

  • Universidad de Zaragoza, Departamento de Geografía y Ordenación del Territorio,
    Doctor Collaborator Junior (N2)
    RESEARCH
    November 2025 - Today (7 months)
    Zaragoza, Spain
    Performed 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.
    Big Data R language Fire forecasting
  • CREAF - Centre for Ecological Research and Forestry Applications, Autonomous University of Barcelona
    Postdoctoral researcher
    RESEARCH
    December 2023 - November 2025 (1 year and 11 months)
    Barcelona, Spain
    Performed Function: Postdoctoral researcher at the Global Ecology Unit acting as data analyst for macroecological and ecosystem functioning research
  • Universidade Federal de Viçosa-UFV,
    Collaborator Researcher
    RESEARCH
    October 2022 - Today (3 years and 8 months)
    Viçosa, Brazil
    Performed 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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Education

  • Doctor in Botany
    Universidade Federal de Viçosa-UFV - Brazil
    2017
    PhD in Botany
  • Doctoral internship in
    University of Münster and University Bayreuth - Germany
    2015
    Doctoral internship in

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