I am able to discuss and negotiate with scientists/analysts from different backgrounds in order to understand their needs and offer them the best solution and more importantly develop tools that are unanimously accepted. I worked in various environments, ranging in the development of extreme weather indices (droughts, extreme precipitation…), validation of regional climate models, development of epidemiological indices, monitoring of vector disease, analysis of storm trajectories or work on instrumental data. I am interested by Open Science and willing to learn about Data Science.
Master’s Professional Degree in Meteorology, 2006
Master’s Degree in Atmospheric and Oceanographic Sciences, 2005
Paul Sabatier Toulouse University and Meteo France
Bachelor’s degree in Physics, 2003
Beaulieu University Rennes 1
Python : Python user and trainer for our department. Skilled Python 3, numpy, matplotlib, Seaborn, Pandas, xarray, cartopy, Basemap, scipy, datetime, multiprocessing, Dask, metpy, pyproj, pygrib, Jupyter Lab, Anaconda, conda, publication-quality figures. View code on Github.
Big Data : Data management, data retrieval/acquisition, data analysis, NetCDF, HDF5, GRIB, RPN, json, XML, shapefile , Open Science Grid, numerical weather models.
Instrumentation : Experience using Campbell Scientific sensors, Micro Rain Radar, Ceilometer, Disdrometer: field work, data collection, data cleaning, data visualization. View code on Github.