hydroinformatics - collaborator
Contributor to the data science course in the University of Stuttgart hosted by hydro-informatics.com
Highly motivated data scientist with demonstrated mathematical and engineering skills. Conducted scientific studies with geospatial analysis and machine learning and contributed to advancing hydroinformatic tools. In hands of analytical thinking and the capacity to work well independently, Ricardo looks forward to developing innovative approaches and applying his acquired data skills on inspired projects.
Contributor to the data science course in the University of Stuttgart hosted by hydro-informatics.com
A geospatial python package for detrending (removing valley slope) river DEMs.
A web app coded in R for interactively analyzing atmospheric pollutants in New York using fuzzy-based interpolation methods.
A python package and to-be web app for performing riverbed sedimentological analyses.
A web app coded in R for interactively analyzing planted and logged trees
A python package for the analysis, research and science-based design of rivers.