Machine Learning | Data Science | Deep Learning | Scientific Computing Hello! I'm Elhadidy, a dedicated Machine Learning Engineer and Data Scientist with a strong focus on Scientific Machine Learning (SciML). Core Expertise: Machine Learning & Deep Learning: Proficient in developing predictive models, particularly in Financial Data Science and Economic Forecasting. Data Science & Analytics: Skilled in Python, SQL, and advanced statistical analysis, with hands-on experience in real-world data applications. Scientific Computing: Specializing in CFD (Computational Fluid Dynamics), FEA (Finite Element Analysis), and Physics-Informed Neural Networks (PINNs). Professional Journey: Graduate Research Assistant | University of Utah (2023-Present): Conducting research on SciML and deep learning for applications in CFD, FEA, and medical imaging, with a focus on Physics-Informed Neural Networks and Reduced-Order Models. Data Scientist | American University of Cairo (2021-2022): Contributed to a Central Bank of Egypt project by building ML models to predict economic indicators. Data Scientist Intern | Financial Data Science (2021): Developed ML models for fraud detection and stock price prediction at the World of Financial Data Science Institute. Mechanical Test Engineer | Egyptian Space Agency (EgSA): Conducted mechanical and qualification tests for satellites, performing FEA analysis on satellite structures. Research & Teaching Assistant | Zewail City for Science and Technology: Assisted in the development of an artificial-heart patent and supported education in Ansys (FEA & CFD). CFD & FEA Freelancer | Upwork: Completed over 80 projects involving Ansys, SolidWorks, and Inventor. Combining my deep knowledge in machine learning, data science, AI, CFD, and FEA, I'm ready to solve complex engineering and data-driven challenges. Contact: 📧 mahmoud@sci.utah.edu 📞 +(385) 443-9578