Majjati Khalid

Anti-Money Laundering (AML) Expertise: Extensive experience in building machine learning models for detecting suspicious financial activities to aid AML efforts. Data Analysis & Reporting: Use of NLP and statistical analysis to inform policy decisions and reduce false positives in financial anomaly detection by 20%. Cloud-Based Solutions: Developed and implemented cloud-integrated NLP models on AWS and Azure, improving data processing efficiency. Coordination & Compliance: Worked closely with national financial institutions and law enforcement agencies to ensure alignment with AML/CFT regulations.

Freelance Project – Demand Forecasting for FMCG Products • Conçu et mis en œuvre un système de prévision multivariée afin d’anticiper la demande de produits de grande consommation (FMCG) pour un client e-commerce/retail. • Collecte, nettoyage et intégration de données internes (ventes historiques, promotions, ruptures de stock) et externes (tendances macroéconomiques, variables calendaires, saisonnalité). • Développement de modèles de Machine Learning et Deep Learning (VAR, XGBoost, LSTM) pour comparer la performance des approches statistiques et neuronales. • Réalisation de feature engineering avancé (variables de tendance, effets saisonniers, indicateurs de prix et promotions). • Mise en place d’un pipeline reproductible en Python (Pandas, Scikit-learn, TensorFlow) et automatisé via Jupyter/Notebook serverless. • Résultats : amélioration significative de la précision des prévisions (+20% par rapport aux méthodes de base), permettant au client de mieux optimiser ses stocks, anticiper les ruptures et planifier ses campagnes promotionnelles. • Livraison finale accompagnée d’un tableau de bord interactif (Streamlit ) pour la visualisation des prévisions et la prise de décision en temps réel.

Developed an application that extracts data from web pages and analyzes this data to offer the user an optimized cryptocurrency portfolio. Tools Used: Python, Java, MySQL Skills : Data Analysis: Extracted and analyzed large datasets from the web. Operations Research: Optimized portfolio management, applying principles of decision support and optimization to provide optimal results for cryptocurrency investments.

Worked on optimizing the planning and production for concrete blocks and hollow blocks . Tools Used: Mixed-Integer Optimization, Lingo Skills : Operations Research: Applied mixed-integer optimization techniques to improve production processes. Production Planning: Demonstrated ability to streamline production workflows, contributing to operational efficiency through well-defined optimization models.

Gained exposure to the workings of the sugar production industry, observing different phases of production and company operations. Skills : Operational Insight: Gained foundational knowledge in industrial processes, understanding the flow of operations and identifying areas for potential optimization. Data Observation: Focused on the collection and analysis of production data to observe trends and potential efficiency improvements in the sugar production process.