Hafsa Zirari

I am Hafsa Zirari, an Engineer with a strong background in Modeling and Scientific Computing from the Mohammadia School of Engineers (EMI). My passion lies in leveraging Data Science and Machine Learning to transform complex, raw data into strategic decisions and robust algorithmic solutions. I position myself as a versatile Data Scientist and Machine Learning Engineer with proven expertise in quantitative methods and high-impact financial applications.

My professional focus is on designing and deploying end-to-end Machine Learning solutions. I excel at managing the entire project lifecycle, from advanced Python modeling to production deployment, and creating interactive dashboards (Power BI, Tableau) for deep analytical insights and strategic scenario analysis.

My profile is defined by hands-on experience and a cutting-edge technical skill set:

• Quantitative Data Science in Finance: I have practical experience at major institutions like Bank Al-Maghrib, where I developed a real-time GDP Nowcasting system, optimizing both econometric (MIDAS) and Machine Learning models (XGBoost, Stacking). At CGI, I specialized in NLP (Transformer models) to extract market sentiment from financial news, successfully integrating these signals to improve the performance of market risk management models.
• Advanced Modeling and Optimization: I have successfully executed complex projects such as Option Pricing using Deep Learning (Keras) to overcome the limitations of the Black-Scholes model and Portfolio Optimization using sophisticated clustering techniques to enhance risk diversification. I am adept at Time Series Analysis, including ARMA-GARCH modeling for volatility forecasting.
• Technical Stack: I am highly proficient across the entire data science stack, mastering the Python ecosystem (pandas, scikit-learn), SQL, and Business Intelligence tools. My skills extend to neural networks (ANN, CNN), optimization, web development (Django, Flask), and professional deployment tools (Git, Docker).

Beyond my technical skills, I bring a sharp analytical mind and a proven capacity for problem-solving and data-driven decision-making. I am results-oriented and dedicated to delivering solutions that provide measurable value.

I am actively seeking projects or roles where I can apply my quantitative and machine learning expertise to solve complex challenges, drive innovation, and contribute significantly to your business goals.