Data Scientist · GIS Developer · Remote Sensing
Bridging field science and computational methods — with a focus on geospatial analysis, movement ecology, and machine learning applied to environmental data.
Languages & Core Libraries
Geospatial
ML / Data
Infrastructure & Tools
- Geospatial data processing and trajectory analysis
- Time series modelling and forecasting (LSTM, statistical methods)
- Handling and optimising large environmental datasets
- Integrating ML pipelines with GIS workflows
Open to projects involving geospatial ML, movement data, remote sensing, or large-scale environmental datasets. Particularly interested in applying deep learning to spatial and temporal data problems.
