Physicist-meteorologist with strong background on Python programming language. Especially on geospatial data analysis and visualization tools. I mainly worked with netCDF files which they are a data format commonly used in scientific and environmental research to store multidimensional data, particularly gridded data, and they are widely used in various fields, such as atmospheric and oceanographic sciences, climate research, hydrology, and geospatial data analysis. My expertise is focused on Numerical Weather Prediction Models on a Unix-based environment. I participated on several scientific projects.
School and public guided tour in the interactive Meteorology exhibition, "The secrets of the weather", by the Scientific Team of Educational Meteorology of the meteo.gr service. ( meteo.gr/articleview.cfm?id=1143&fbclid=IwAR23HDoqaH5mKIOIEwZmRpH4Hy8-7SjsBHrM1Ev_T1eyIYdEeohfr1zQ6hg )
Python Programming language
UCSanDiego (Python for Data Science) Online course
Git and Github Basics (Online course)
UCSanDiego (Python for Data Science) Online course