I'm Hassan El Qadi, a fourth-year Finance & Decision-Making Engineering student at ENSA Agadir with a passion for Quantitative Finance and software development. My journey blends advanced financial analytics with cutting-edge technologies, allowing me to dive into the realms of data science and algorithmic trading. With a constant drive to solve complex problems, I'm building a future powered by finance and technology. Join me in exploring the world of quantitative strategies and transformative solutions! 🚀
- Developed quantitative trading algorithms using Python and Quantlib.
- Implemented backtesting frameworks with Pandas and NumPy.
- Optimized risk-reward ratios using Monte Carlo simulations and Markowitz portfolio theory.
- Analyzed large financial datasets using R and Python.
- Built predictive models for stock price movements leveraging machine learning (Scikit-learn).
- Python: Data analysis, machine learning, algorithm development.
- R: Statistical computing and data visualization.
- SQL: Efficient financial database querying.
- Quantlib: Fixed-income analytics and derivatives pricing.
- Pandas/NumPy: Data manipulation and numerical computing.
- Scikit-learn: Building predictive financial models.
- Tableau: Interactive financial dashboards.
- Matplotlib/Seaborn: In-depth plotting for analytics.
- Git/Docker: Version control and containerization for financial apps.
- Linux: Workflow optimization and script automation.
Check out my repositories below to dive deeper into the world of finance and tech ⬇️