
Graduate Research Assistant, North Carolina State University -----PhD student (Geospatial Analytics)
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PSI_Grow_Thy_HackPack
September 13, 2025 – September 29, 2025
PSI_Grow_Thy_HackPack — GitHub repository
View ProjectRandom-Forest-Classification-Algorithm-in-Google-Earth-Engine
March 10, 2021 – March 10, 2021
Random-Forest-Classification-Algorithm-in-Google-Earth-Engine — GitHub repository
View ProjectLandsat-imagery-download-using-Google-Earth-Engine
March 2, 2021 – March 2, 2021
Landsat-imagery-download-using-Google-Earth-Engine — GitHub repository
View ProjectRemote-Sensing-Image-Classification
December 9, 2020 – November 16, 2023
Classify Landsat Imagery based on urban area and vegetation using a machine learning algorithm in Google Earth Engine.
View ProjectWeb-Application
December 5, 2020 – November 29, 2022
Web mapping of the New Federal System of Nepal with Rural Municipality and Municipality.
View ProjectMathematical-Morphology-in-Remote-Sensing
December 5, 2020 – October 11, 2022
Dilation, Erosion, Opening and Closing
View ProjectCo-ordinate-Transformation
December 5, 2020 – November 6, 2023
Geocentric Cartesian Coordinate Transformation using Java Programming Language
View ProjectImage-Analysis
December 4, 2020 – January 20, 2023
Face Detection, Edge Detection and Counting no of objects in an image using Python Programming Language
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on geospatial data science, remote sensing, and image analysis, which aligns well with a Data Scientist role that involves spatial data. The diversity of tools (JavaScript, Python, Java, Jupyter Notebook) indicates adaptability. However, the projects are all personal and lack team collaboration context, making it difficult to assess cultural fit comprehensively.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.