Welcome to my portfolio! I graduated with a Bachelor of Science in Financial Engineering from MMU, with expertise in financial engineering, risk management, and computer programming. This repository highlights my projects, technical skills, and experience in these areas, with a specific focus on Quantitative Risk, Data Science, and AI/ML.
- Programming: Python, PostgreSQL, HTML, CSS, JavaScript
- Quantitative Skills: Risk Modeling, Stochastic Calculus, Linear Algebra, Brownian Motion, Descriptive Statistics, Bayesian Statistics,
- Data Science Skills: scikit-learn & PyTorch (Machine Learning, Deep Learning, Reinforcement Learning), Image Classification, Fraud & Anomaly Detection, Credit Risk Defaults, Natural Language Processing.
- Risk Management: Credit risk, portfolio risk, Value-at-Risk (VaR), Fraud Detection & Anomaly Detection.
- Financial Products Knowledge: Credit products, derivatives, structured finance
- Financial Engineering: Portfolio optimization, Monte Carlo simulations, Algorithmic Trading, NLP in finance.
- LinkedIn: Ammar's LinkedIn
- Email: [email protected]
Feel free to explore my projects and reach out if you’d like to discuss opportunities or collaborations!