This repository is designed as a structured learning resource for students, developers, researchers, and anyone interested in how money moves digitally through banks, payment processors, and international financial networks.
Responsive fintech institute website built using React and modern frontend technologies
Enterprise microservices platform — AI financial assistant, real-time fraud detection via Kafka, GraphQL API, React dashboard, Kubernetes deployment
A Python-based financial analytics project that analyzes stock market data using yfinance, Pandas, NumPy, and visualization libraries to generate trends, moving averages, volatility analysis, and financial insights.
Pipeline complet de détection de fraude bancaire utilisant XGBoost (F1: 85%). Inclut le nettoyage automatisé, l'équilibrage des données (SMOTE) et l'optimisation des seuils de décision pour minimiser les faux positifs
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