Hafsa Zirari | Freelancer Resume

Zirari Hafsa Data Scientist & Machine Learning Engineer (Modeling and Quantitative Computing) PROFILE & VALUE PROPOSITION Engineer specializing in Data Science and Machine Learning with proven expertise in Quantitative Modeling and Production Deployment. I develop end-to-end algorithmic solutions (from Python modeling to production via Docker/CI/CD) to transform complex data into strategic decisions and automated processes. My skills include optimizing high-impact models (Fraud, Finance, Forecasting) and advanced analysis (NLP for market sentiment, Deep Learning/Keras). I specialize in creating actionable and high-performance decision-support systems, backed by a strong command of SQL, Power BI, and modern MLOps practices. EXPERIENCE Data Science Consultant: Real-Time Fraud Detection API [Freelance Contract] 11/2024 - 12/2024 • Developed a low-latency Fraud Scoring API using Flask and deployed it with Docker for real-time transactional analysis (LGBM model). • Optimized feature engineering and model serialization to handle high-throughput requests, resulting in a 25% reduction in scoring latency. • Established monitoring dashboards to track model performance and drift in production environments. Data Scientist - GDP Nowcasting Project Bank Al-maghrib 06/2025 - 08/2025 • Developed an end-to-end real-time GDP forecasting system in Python. • Optimized econometric models (MIDAS) and Machine Learning models (XGBoost, LightGBM, Stacking...). • Created an interactive dashboard for visualization, scenario analysis, and integrated a ChatBot. Quantitative Data Scientist (NLP & Market Finance) CGI 08/2025 - 09/2025 • Developed an NLP (Transformer) model to extract sentiment signals from financial news, which were then integrated into market risk management models to improve backtest performance. Full-Stack Web Development Internship La RADEEF 07/2024 - 08/2024 • Full-Stack development of a tender management platform (HTML/CSS, JavaScript, SQL) to centralize, secure, and optimize submission tracking. EDUCATION Engineering Degree, Modeling and Scientific Computing Engineering • École Mohammadia d’Ingénieurs (EMI) Preparatory Classes for Grandes Écoles (CPGE), PSI Rabat Fès 2023 – 2026 2021 – 2023 • Moulay Driss High School, Ranked 123rd nationally KEY TECHNICAL SKILLS • Data Science & ML: Python (pandas, scikit-learn), Deep Learning (Keras, PyTorch), NLP, Time Series, Econometric Models (MIDAS, GARCH). • Production MLOps: Docker, Git, CI/CD (GitHub Actions), Model Deployment, Flask/FastAPI. • Business Intelligence & Databases: SQL, Power BI, Tableau, Excel, Data Analytics. • Modeling & Optimization: Regression, Classification, Clustering, Linear/Non-Linear Optimization. • Development: HTML/CSS/JS, C, C++, Django, Flask, React. PROJECTS & ACHIEVEMENTS (PORTFOLIO) • MLOps & CI/CD Pipeline for Predictive Model: Built an automated MLOps pipeline using GitHub Actions and Docker to train, test, and deploy a churn prediction model to a cloud endpoint. • E-commerce Recommendation Engine (PyTorch): Developed a collaborative filtering and matrix factorization recommendation system using PyTorch for a large retail dataset, significantly improving user engagement metrics in simulation. • Option Pricing with Neural Networks: Developed a Deep Learning (Keras) model for option pricing, outperforming the Black-Scholes model in the presence of ”volatility smile”. • Portfolio Optimization with Machine Learning: Analysis of strategies (Risk Parity, Markowitz) via clustering algorithms to improve risk diversification. ADDITIONAL INFORMATION • • • • Soft Skills: Leadership, Teamwork, Analytical Thinking, Problem Solving. Languages: Arabic (Native), French (Fluent), English (Advanced). Certifications: Machine Learning Foundations – AWS, Python for Data Analysis – IBM. Interests: Machine Learning Competitions (Kaggle), Personal Portfolio Management (Trading), Club Basketball.