
Turning Satellite data into meaningful geospatial insights | GIS | Remote Sensing | Python Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Student | Geospatial & Remote Sensing Learner
Java Backend developer
June 13, 2026 – Present
Digitized-Well-Analysis
April 10, 2026 – Present
QGIS-based spatial analysis classifying wells into perennial (blue) and non-perennial (red) categories. This visualization helps in understanding water availability and groundwater sustainability.
View ProjectFlood-Analysis
April 10, 2026 – Present
Developed a Flood Hazard Zonation Map using satellite data and NDWI analysis to identify high-risk flood-prone areas. Performed geospatial analysis using QGIS and Python to support disaster management and environmental planning.
View ProjectUHI-Analysis
April 10, 2026 – Present
Mapped Land Surface Temperature (LST) using Landsat 8 thermal bands in QGIS. Conducted TOA Radiance conversion and emissivity correction to identify urban heat hotspots.
View ProjectSimple-Number-Guessing-Game
May 13, 2025 – May 13, 2025
A simple number guessing game where the player tries to guess a randomly generated number between 1 and 100.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on geospatial analysis and remote sensing, which does not directly align with a 'Java Backend developer' role. The single Java project is a basic number guessing game, indicating a very nascent stage of Java development. This suggests a significant gap in technical alignment for the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily academic/personal with no professional roles described.