I'm from Nepal, with a background in Agriculture and Soil Science. I use this space to share code, practical projects, experiments, and things I'm learning.
My work often connects agriculture, geospatial data, data analysis, and automation—with machine learning and quantitative finance among my other interests. I enjoy finding ways to make complex or repetitive tasks simpler with code.
| ArcGIS Pro, QGIS, Google Earth Engine, satellite imagery, NDVI, and spatial analysis. | Python and ArcPy scripts, R workflows, and repeatable geospatial processing tasks. |
R scripts for agricultural data analysis, experimental design, and packages such as agricolae and doebioresearch.
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Python notebooks, statistical methods, time-series analysis, derivatives pricing, and machine-learning experiments. |
| Practice code, reusable snippets, small experiments, and open-source ideas built while exploring new tools and techniques. | |
Tools I use to learn, analyze, automate, and build.
- Automating repetitive work and simplifying complex tasks
- Exploring maps, satellite imagery, and interesting datasets
- Trying new R and Python packages
- Learning about agriculture, data science, and quantitative finance
- Building useful small projects and sharing what I learn
Still learning. Still coding. Still finding ways to make things simpler.