👋 Hi there!

My name is Abdelrahman Saleh, and I am a PhD student at Ankara Uni.

💻 Challange Yourself:

Can you break my touch typing records 🤔 My average ⚡️ is 120 WPM (EN)

🔍 Interests

• Machine Learning / Deep Learning
• Remote Sensing Applications in Agriculture
• Climate Science / Earth Observation

🚀 Current Projects

• Deep RL for Optimizing Irrigation Scheduling: Funded by TÜBİTAK.

🌐 My Open-source Projects

• EarthStat 🌍 - Tool to generate statistical datasets from Remote Sensing data for spatial units.
• AgERA5GeoStat 📊- Create Statistical Information datasets For ROI by Download, Aggregate AgERA5.
• RLCropWater 💧 - RL Environment for Scheduling Irrigation.
• ETo-Calculator 🌱 - Calculate ETo according to Available Meteorological Data.

🎯 Past Projects

• Deep Neural Network for Estimating GPP in Bolivia: Utilized regional meteorological variables.
• Deep Learning for Sustainable Water Management: Estimating reference crop evapotranspiration in sub-humid climatic conditions.

📚 Currently Learning

• Google Earth Engine and a lot of stuff

🏆 Hackathon Awards

• 🥈 WaPOR Hackathon 2023, IHE Delft.
• 🥉 Genhack 3- Generative Modelling Challenge 2024, Ecole polytechnique.

💻 My Skills

Category	Skills
Programming Languages	Python (Advanced), JavaScript for GEE, C++ (Beginner)
Data Analysis & Data Visualization	NumPy, Pandas, Seaborn, Matplotlib
Machine Learning & Deep Learning	TensorFlow, Pytorch, Scikit Learn, OpenCV
Remote Sensing libraries	Xarray, Rasterio
Geospatial Analysis	ArcGIS, QGIS
Crop Modeling	DSSAT
Web Development	HTML, CSS, WordPress

💪🏻 power in collaboration!

Feel free to reach out to me via email for collaboration opportunities or inquiries.