Nicholas Vachon

Nicholas Vachon is a skilled data scientist specializing in deep learning and natural language processing (NLP), currently working at Consort Group. At Consort Group, achievements include project management across various stages using Azure DevOps, fine-tuning generative AI for skill extraction, and implementing a Rephrase and Generation (RAG) system for matching CVs to tender calls. Nicholas has also excelled in reinforcement learning, notably securing 2nd place in France in the Amazon Deep Racer competition. Previous roles include data science consultancy at Kapacity, where Nicholas worked on cloud migration and fraud detection, and a data scientist position at Caisse de dépôt et placement du Québec, utilizing advanced NLP techniques. Additional experience spans a range of leadership and strategy roles at Bell, where Nicholas managed teams and oversaw significant digital content initiatives. Educational qualifications include a master's degree in artificial intelligence and multiple degrees in computer science and performing arts.