Education
Formal training in surveying, spatial analysis, and engineering mathematics — the foundation under the machine learning work.
Academic profile
The training and milestones that shaped my path into remote sensing, GIS, and GeoAI research.
Timeline
Currently in the 4th semester. Coursework spans surveying, photogrammetry, remote sensing, GIS, geodesy, and programming for spatial analysis.
High school has been one of the most formative experiences of my life, shaping my academic foundation and future aspirations. I successfully completed Grade 10 with a 4.0 GPA, demonstrating my commitment to excellence and strong work ethic. In Grade 12, I achieved a cumulative GPA of 3.68, continuing to challenge myself in various subjects and preparing for the next steps in my educational journey.
Photo scale, ground distance, relief displacement, flying height computation.
Vector/raster data models, spatial queries, geoprocessing workflows.
Multispectral imagery, classification, spectral indices (NDVI, NDWI).
Coordinate systems, datum transformations, field survey methods.
Python and algorithmic problem-solving applied to spatial datasets.
Linear algebra, statistics, and numerical methods underlying ML models.