I have been learning SQL the hard way, as I took part in setting up a geographical information system from the ground up: gathering available data, creating a catalog, streamlining data into our standards, setting up a PostGIS database, letting the whole French Public Office in French Guiana (DGTM) I am part of benefit from it. This great endeavour provided me with a precious experience in soft skills as well as in hard ones, such as the aforementionned SQL.

Now that I am on a professionnal leave, I am willing to expand my knowledge towards GeoSpatial DataScience. I am looking to collaborate on Research projects. To feature my skillset, I chose the the Jupyter Notebook format, which is popular in that field.

I want to pick the best out of Geographical Information Systems and Data Science: capabilities in database managment, and statistical/data mining treatments. I am currently setting a repository focused on using Data Science tools with PostGIS-hosted geographical data.

I have been using R for statistics and spatial analysis during the year of study I took in the University of Grenoble, France. Since I have been discovering Python that very year and it is popular in various applications, I decided I would give a go to Python spatial analysis libraries.

The repository is currently a WIP, I am continuously learning from Notebook to Notebook. Here is a list of the ressources I am using for the project I am sharing on GitHub :

Feel free to give me feedback ! You can reach me at adrien (dot) gahery (at) gmail (dot) com.