Hello!
A bit about me:
I am a Spatial Data Scientist with a proven track record of designing, implementing, and managing geospatial data projects, from conception to completion. Doing a Ph.D. in Environmental Epidemiology, I specialize in integrating advanced spatial data science techniques to understand the geographical patterns of diseases and exposures.
Skills:
- Programming: Python (NumPy, SciPy, Matplotlib, Pandas, SciKit-learn, Keras, PyTorch, jupyter Lab), SQL (Postgres), Bash, MATLAB, Java, R
- Experience with cloud environments: AWS (S3, EC2, ECS, Lambda), Azure, Slurm
- Code versioning and code reviews}{: GitHub,GitLab
- Software development and deployment: Docker, CI/CD (GitHub Action)
- Workflow management: Prefect, Airflow
- Spatial analysis: Platforms: (ArcGIS, QGIS, SNAP, ENVI, GEE), Programming packages: (GDAL/OGR, PyProj, sp, shapely, Rasterio, Geopandas, ArcPy), Database: (PostGIS)}