Operations Research and Decision Support student with hands-on experience in system modeling, machine learning, and optimization. Skilled in simulating systems, leveraging probabilistic models to optimize performance metrics. Proficient in developing neural networks and SVM models for predictive analytics, achieving strong performance in performance prediction. Experienced in applying genetic algorithms with fuzzy logic to solve optimization problems. Seeking opportunities to apply data-driven insights and advanced analytical techniques to enhance operational efficiency and decision-making in dynamic environments.
During my university studies, I've worked on several projects where I applied my theoretical knowledge with different projects: 1- System Modeling and Simulation project -Simulated a multi-channel queue system for a petrol station. -Modeled a hospital inventory system with two-level inventory management. -Generated statistical reports and graphs to evaluate system performance. 2-High-School Student Performance Prediction (Machine Learning Project) - Developed and trained a Neural Network with three hidden layers (128, 64, 32 neurons) using ReLU - Implemented a Support Vector Machine (SVM) with a linear kernel - Conducted 10-fold cross-validation, evaluating models with metrics 3- Optimization using genetic algorithm in food composition -Engineered a genetic algorithm to optimize food composition -Incorporated fuzzy logic to dynamically adjust mutation rates in the genetic algorithm
Gained skills in web scraping (Beautiful Soup, Selenium), data analysis (Pandas, NumPy, Matplotlib, Scikitlearn) Made some programs using Tkinter to make GUI Mastered Python through building 100 real-world projects, including automation scripts, games, and data science applications
Created variety of functions using loops, equations with different input data types
➢ Completed a Deloitte job simulation involving data analysis and forensic technology ➢ Created a data dashboard using Tableau ➢ Used Excel to classify data and draw business conclusions
Gained skills in web scraping (Beautiful Soup, Selenium), data analysis (Pandas, NumPy, Matplotlib, Scikitlearn) Made some programs using Tkinter to make GUI Mastered Python through building 100 real-world projects, including automation scripts, games, and data science applications
Created variety of functions using loops, equations with different input data types
مصر
2003-09-20
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