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Hi there šŸ‘‹

šŸ”­ Iā€™m Kamal Elsayed, Linkedin.
āš” I'm a data professional with a strong foundation in statistics, image analysis and computer vision.
āš” I come with a rich career in solution engineering for data analytics, internet of things (IIoT) and AR/VR in the oil & gas and manufacturing.
šŸ‘Æ Iā€™m looking to collaborate on projects in the domain of Geospatial data, Agritech, Healthcare and Water.
šŸŒ± I finished my Masters of Science in Data Science from Tilburg university (TiU) in the Netherlands.
šŸ’¬ Reach me via [email protected] or find me through Linkedin https://www.linkedin.com/in/kamaleldin/

Kamal Elsayed's Projects

dyingrivers-esa icon dyingrivers-esa

This repo showcases the utilization of earth observation (EO) imagery to analyze the state of the Euphrates river across 4 decades. The project is part of the AI4Earth challenge organized by the Space Hubs Network and the European Space Agency (ESA). The analysis included acquiring EO imagery through Sentinel Hub and calculating a group of remotes sensing indices to summarize the development of the Hindiya Barrage segment of the Euphrates basin.

logistics_transshipment icon logistics_transshipment

Predicting vessel transshipment (discharge) amounts using XGBoost regression trees on a very small dataset.

umc.utrecht.hospital icon umc.utrecht.hospital

This repo showcases the development of an early warning timeseries model that predicts the onset of sepsis "acute infection" in pre-term newborns. The model serves premature infants hospitalized in the Neonatal Intensive Care Unit (NICU), in the Wilhelmina Kinderziekenhuis (WKZ) hospital in Utrecht, Netherlands.

unicef-giga_sudan icon unicef-giga_sudan

Detecting school lots from satellite imagery in Southern Sudan using a UNET segmentation model. This project is done to assist the UNICEF's Giga initiative in their mission to connect unconnected schools worldwide to the internet.

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