🧠 Data Scientist | 📊 Analytics & Modeling | 🌐 Portfolio Optimization | 🛡️ Risk Mitigation
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📈 AI-based Risk Modelling: Leveraged CVaR and Stochastic Volatility Models for risk assessment.
- Skills: Probabilistic Methods, Deep Learning, Python.
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🤖 Financial Trading Bot: Developed using Deep Q-Networks and Semantic Analysis.
- Skills: Deep Reinforcement Learning, NLP, Python.
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📊 Portfolio Optimization: Conducted Comparative Analysis of SVM, Random Forest, and XGBoost.
- Skills: Machine Learning, Predictive Models, Python.
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Artificial Intelligence Postgraduate Professional Program at Stanford
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MSc in Electrical Engineering (Sparse Signal Processing) at KAUST Published research in IEEE International Conference in Acoustic and Speech Signal Processing (ICASSP).
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BSc in Electrical Engineering (First Honors) at KFUPM
HTML |
CSS |
JavaScript |
Bash |
Python |
SQL |
PHP |
MVC |
Java |
C |
C# |
Assembly |
- Machine Learning (Cornell University)
- AI for Trading Nanodegree (Udacity)
- Deep Learning Nanodegree (Udacity)
- Programming for Data Science with Python (Udacity)
