I'm a Civil Engineer from Mexico specializing in Hydroinformatics, with experience in GIS, Remote Sensing, Machine Learning, and Water Resources Engineering.
I enjoy developing geospatial tools and data-driven solutions that support water management, environmental monitoring, and engineering decision-making.
I recently completed an M.Sc. in Hydraulics and Hydrology at the National Autonomous University of Mexico (UNAM), following an Advanced Specialization in Hydroinformatics at IHE Delft Institute for Water Education. My work focuses on applying geospatial technologies and data-driven methods to improve water resources management.
- π Hydroinformatics
- π§ Water Resources Engineering
- π°οΈ Remote Sensing
- πΊοΈ Geographic Information Systems (GIS)
- π€ Machine Learning for Environmental Applications
- π± Agricultural Water Management
- π Geospatial Data Analysis
- Python
- Google Earth Engine
- SQL (basic)
- ArcGIS Pro
- ArcMap
- QGIS
- Sentinel-2
- WaPOR
- CHIRPS
- Spatial Analysis
- HEC-HMS
- HEC-RAS
- EPANET
- SWMM
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
A lightweight Python toolkit for downloading historical daily climatological records from Mexico's National Meteorological Service (SMN).
π https://github.com/ximenaanell86/smn-climate-data-downloader
I am currently working on projects related to:
- Satellite-based agricultural water demand estimation
- Water Accounting
- Machine Learning bias correction of satellite climate products
- Geospatial analysis for water resources management
M.Sc. Hydraulics and Hydrology
National Autonomous University of Mexico (UNAM)
Advanced Specialization in Hydroinformatics
IHE Delft Institute for Water Education
B.Sc. Civil Engineering
Universidad Veracruzana
"Using geospatial data and technology to improve water resources management."