Iqra Raja

Delivered technical training on Python scripting, machine learning, spatial analysis, EO software, and spatial data management using PostGIS and raster analytics. Designed RS modules employing multispectral technology, hyperspectral technology, temporal analysis, and geospatial AI. Mentored participants in reproducible spatial workflows (FAIR), aligning with WUR’s collaborative research approach.

- Designed and delivered Python, SQL, and project management training for professionals across finance, IT, HR, and humanities, enhancing practical data and project skills. - Developed structured course materials, hands-on exercises, and real-world projects tailored to diverse industry needs. - Mentored participants on project execution, data-driven workflows, and best practices for geospatial and IT projects.

Deutsche Welthungerhilfe (Germany): Flood hazard RS modelling, hydrological EO analysis, and vulnerability mapping using radar & hydrological RS workflows. Implemented drone technology‑driven EO software pipelines, producing 3D terrain models and vegetation monitoring dashboards. AKDN SAR Project: Multi-criteria environmental assessment integrating EO indicators, in-situ data, and long-term environmental layers.

Built EO–AI pipelines integrating Sentinel multispectral imagery, DEMs, risk indicators, and environmental variables for multi-hazard impact assessments. Performed feature extraction using Python scripting, machine learning and deep learning (PyTorch), RasterIO, and GeoPandas, and developed automated classification workflows. Contributed to interdisciplinary research linking remote sensing with risk modelling and environmental exposure mapping. Developed geo‑informatics platforms using GIS software (PostGIS

- Led the digitization of Balochistan’s cadastral maps and integration with the Record of Rights (ROR) system, modernizing land management for the entire province. - Oversaw the development and management of spatial databases and GIS applications, ensuring data quality, reproducibility, and scalability. - Developed core GIS applications using Python, enabling automated land use/land cover analysis and visualization of cadastral and environmental data. - Conducted field visits for sample data collection and

Processed >340,000 km² of EO data for land-use classification, environmental monitoring, forest/vegetation analysis, and cadastral mapping. Conducted habitat and land cover mapping using Sentinel-2, Landsat-8, DEM derivatives, and drone imagery. Designed environmental indicators for land degradation, vegetation health, and habitat fragmentation. Developed GIS software‑based spatial databases and spatial data management/engineering ETL pipelines using PostGIS, ArcGIS ModelBuilder, and QGIS.

- Conducted data analysis, process evaluation, and quality assurance/control for the Axel Load Management and Vehicle Inspection & Certification System (VICS) projects. - Designed and managed the Axel Load Management geodatabase and web services, enabling efficient data management, reporting, and resource allocation. - Performed spatial and statistical analyses on VICS data to inform vehicle inspection strategies and policy decisions across Punjab. - Contributed to the development of the Punjab Transport St

Conducted multispectral analysis for ecosystem mapping, environmental impact assessments, and agricultural change studies. Applied ML classification models and time-series analysis to detect environmental trends. Developed EO-supported GIS dashboards and interactive spatial tools.

- Conducted spatial data analysis, hydrological modeling, and environmental impact assessments for multiple small and medium dam projects across Khyber Pakhtunkhwa (KP) and Balochistan. - Supported pre-feasibility and feasibility studies for water resource development projects sponsored by provincial and federal government agencies. - Performed catchment analysis, watershed delineation, flood risk assessment, and terrain modeling using GIS and remote sensing techniques. - Contributed to environmental and cl

- Performed spatial analysis, LiDAR processing, and remote sensing applications for engineering and environmental projects. - Supported GIS database design, mapping, and visualization for clients in infrastructure, water, and urban planning projects. - Assisted in field surveys, GPS data collection, and data validation for long-term geospatial projects.

Thesis: Simulated climate change impacts on regional environments using GCM models, performing geospatial analysis to identify temperature and precipitation trends.

Thesis: Urban Planning & Zoning Project – Applied GIS techniques to urban planning, zoning, and land-use analysis, supporting sustainable development and spatial decision-making.