Summary
Walmes Zeviani is a Professor of Statistics at UFPR with over a decade of experience in computational statistics, experimental design and statistical modeling. He holds a MSc and PhD in Statistics and Agricultural Experimentation from UFLA and began teaching at UFPR in 2010, while also vice-coordinating the postgraduate Data Science & Big Data specialization. An experienced R programmer and open-source advocate, he publishes teaching materials, scientific collaborations and R packages online and emphasizes reproducible research, open data and free software. Walmes collaborates widely with soil science and phytopathology researchers, volunteers co-supervision for graduate students, and serves as a reviewer for national journals. His current interests blend data science techniques—machine learning, feature engineering and text mining—with advanced data visualization, reflecting a practical focus on making complex analyses accessible.
12 years of coding experience
Doutor, Estatística e Experimentação Agropecuária, Doutor, Estatística e Experimentação Agropecuária at Universidade Federal de Lavras
Bacharelado, Agriculture, General, Bacharelado, Agriculture, General at Universidade Federal da Grande Dourados