I am a geospatial analyst passionate about Remote Sensing, GIS, spatial data science, and logistics optimization. My work focuses on environmental monitoring, predictive spatial modeling, Geo-Digital Twins, and the application of Machine Learning to complex geospatial challenges. Using tools such as ArcGIS Pro, QGIS, Google Earth Engine, Python, and R, I develop data-driven solutions that bridge environmental intelligence, transportation systems, and digital innovation.
Research Interests: Geospatial Artificial Intelligence (GeoAI) in GIS and Remote Sensing; Climate Change and Disaster Risk Analytics; Geospatial Digital Twins and Smart Systems; Spatial Supply Chain and Logistics Optimization; and Machine Learning for Earth Observation and Spatial Modeling.
A concise overview of tools, programming languages, and research software I’m proficient in:
| GIS & Remote Sensing | ArcGIS Pro, QGIS, Google Earth Engine |
|---|---|
| Programming Languages | Python, R, JavaScript (for GEE), MATLAB |
| Analysis & Visualization | GeoPandas, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Tableau, Excel, SPSS, SQL, Power BI |
| Research & Writing Tools | Zotero, Mendeley, Markdown, Word, Notion, LaTeX |
| Cloud & Version Control | Git, Kaggle, Google Colab, Jupyter Notebook |


