Hello! I'm Daniel, a passionate Data Scientist & ML Engineer with a strong background in deep learning, particularly in Natural Language Processing (NLP). I'm very enthusiastic about technology, which drives me to continuously explore and implement new practices in this ever-evolving field.Fluent in English, French, and Portuguese, I excel in cross-cultural, multidisciplinary environments. My background includes a M.Eng in Computer Science from Télécom Paris, a M.Sc in Financial Data Science from Université Panthéon-Sorbonne, and a B.Sc in Electrical Engineering from USP.Being surrounded by ambitious and talented individuals is a constant source of inspiration for me. Through my involvement in such dynamic environments, I have been able to tackle a variety of challenging projects, such as:• Developing RAG systems using LangChain for ESG data;• Creating text-conditioned outfit recommendations with transformer-based architectures in PyTorch;• Performing social media sentiment analysis;• Conducting asset allocation and stock market analysis;These experiences have not only sharpened my Python, deep learning, and NLP skills but also allowed me to gain expertise in building data pipelines and deploying AI systems.I'm always eager to connect with fellow AI enthusiasts, researchers, and professionals. Whether you're looking to collaborate on AI projects or simply want to geek out about the latest in machine learning, don't hesitate to reach out!