Yusupova Rahbar

Machine Learning & Data Science enthusiast focused on building real-world AI systems at the intersection of finance, economics, and data engineering. I am particularly interested in applied ML, LLM-based systems (RAG, NLP), and energy-efficient data pipelines for scalable decision-making. Currently exploring topics such as: • Retrieval-Augmented Generation (RAG) systems for real-world applications • AI for financial and economic modeling • Green data engineering and sustainable ML workflows • End-to-end data software engineering with Python, SQL, and cloud tools Always learning, building, and sharing projects that bridge research and production-ready AI systems.