Rabbia A.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

Geospatial solar site suitability

Gis Domain Expertise

remote sensing

Top Data Types

Image

Top Task Types

Mapping

Data Collection

Freelancer Overview

M.Phil Researcher — Geospatial Multi-Criteria Solar Site Suitability Study (Dataset validation and technical evaluation). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Philosophy, The Women University Multan (2024) and Master of Science, Bahauddin Zakariya University (2021). AI-training focus includes data types such as Geospatial and Tiled Imagery and labeling workflows including Data Collection.

Labeling Experience

M.Phil Researcher — Geospatial Multi-Criteria Solar Site Suitability Study (Dataset validation and technical evaluation)

Don't discloseData Collection

Created and validated a geospatial research dataset for solar site suitability using structured environmental, infrastructural, and spatial criteria. Reviewed satellite imagery and DEM-derived variables from multiple sources to ensure data quality, consistency, and categorization for downstream analysis and evaluation. Documented assumptions, methods, and scenario outputs to support reproducibility and evidence-based interpretation. • Curated inputs across multiple geospatial variables and maintained analytical reliability • Compared outputs across suitability scenarios to identify inconsistencies and methodological differences • Performed detailed quality checks during dataset cleaning and spreadsheet review • Produced technical documentation to make results reviewable and auditable.

2023 - 2024

M.Phil Researcher – Geospatial Solar Site Suitability Study (The Women University Multan), 2023–2024

OtherMapping

In the M.Phil Geospatial Solar Site Suitability study, you built and validated a structured dataset combining geospatial and environmental criteria to support analysis-ready labeling artifacts. You reviewed satellite imagery inputs and geospatial layers for analytical accuracy, applying explicit decision rules to ensure consistent evaluation outcomes. You documented assumptions and methodology in a reproducible format to enable technical QA and academic review. • Collected and validated spatial inputs from satellite imagery and digital elevation models. • Applied MCDA and OWA-based criteria as a rubric for consistent scenario evaluation. • Compared scenario outputs and checked consistency to identify discrepancies. • Prepared structured documentation for methodology transparency and quality checking.

2023 - 2024

Education

Work History