GIS & Remote Sensing Enthusiast | Geospatial AI Explorer | Environmental Analyst
I’m a passionate explorer of the geospatial world, using Remote Sensing, GIS, and programming to understand and visualize environmental changes. My work focuses on satellite imagery analysis, land use classification, and spatial modeling through automation and data science techniques.
With hands-on experience in tools like ArcGIS, QGIS, Google Earth Engine, and programming languages such as Python, SQL and R, I enjoy building reproducible workflows and translating geospatial data into meaningful environmental insights.
A concise overview of tools, programming languages, and research software I’m proficient in:
| GIS & Remote Sensing | ArcGIS Pro, QGIS, Google Earth Engine, Google Earth Pro, Sentinel Hub, Landsat Toolbox, MODIS Tools, Raster & Vector Analysis, Georeferencing, Image Classification (Supervised & Unsupervised), NDVI/NDWI/NDBI Analysis, Change Detection, DEM Processing, Map Layout & Cartographic Design, Spatial Interpolation, GPS Data Handling, Field Survey Integration |
|---|---|
| Programming Languages | Python, JavaScript (for GEE), R, MATLAB, LaTeX, |
| Analysis & Visualization | GeoPandas, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Tableau, Excel, SPSS, SQL, Power BI |
| Research & Writing Tools | Zotero, Markdown, Notion, Overleaf |
| Cloud & Version Control | Git, GitHub, Kaggle, Google Colab, VS Code |
