I am a GIS and Remote Sensing expert with over 12 years of experience in geospatial analysis, remote sensing applications, natural resources, environment, and urban planning. I have proven expertise in leveraging satellite imagery, LiDAR UAV/drone data, and AI-powered geospatial analytics to support smart city development, environmental monitoring, and infrastructure management. I am adept at using ArcGIS Pro, QGIS, ERDAS Imagine, ENVI, Python, and machine learning for geospatial solutions (GeoAI).
Throughout my career, I have developed AI-based land-use classification models using random forest classifiers for Sentinel-2 and Landsat imagery to monitor urban expansion. I have automated object detection models using Pytorch and GeoAI for disaster risk analysis and streamlined geospatial workflows with Python to enhance data processing efficiency. I have collaborated with government agencies on flood risk mapping and environmental impact assessments.
I have created 3D terrain models (DEM/DTM) for hydrological, climatic, and soil modeling as well as flood risk analysis. Additionally, I have developed interactive web maps using ArcGIS Online and PowerBI to support real-time municipal decision-making. My experience also includes leading projects with budgets exceeding $500k and managing teams of over 15 members.
Earlier in my career, I worked as a Geospatial Analyst where I developed and implemented robust data collection processes, acquired satellite data, created databases and metadata, and ensured data quality control. I processed high-resolution satellite and drone imagery for vegetation health assessment and urban green space analysis. I supported climate risk finance initiatives by integrating satellite data with GIS platforms and restructuring databases.
I have provided training and technical support to end-users, enabling them to access, analyze, and apply geospatial data effectively. I continuously update my skills through certifications and advanced training in AI for flood risk modeling, UAV/drone mapping, time series crop monitoring, spectroscopy, eco-hydrology, climate change, and natural resource management.
I am fluent in English and have a strong preference for Arabic. My educational background includes a Ph.D. in remote sensing and geographic information systems from the Sudan Academy of Science, and M.Sc. and B.Sc. degrees with honors in Agriculture from the University of Khartoum. I have been recognized with prestigious awards for academic excellence in soil and environmental science.
