About

Francis Iannacci is a highly accomplished Data Scientist with over a decade of experience in leading and managing machine learning projects. Currently, he is serving as the Data Science Manager at Amazon, where he is leading ML projects within Amazon Operations. Francis holds a Master's degree in Computer Science and Engineering from the University of Washington and a Bachelor's degree in Electrical and Computer Engineering from Cornell University. Francis has a strong background in engineering, which he uses to translate complex business problems into elegant technical solutions. He is an expert in machine learning, computer vision, natural language processing, and traditional analytics projects. Francis is currently managing a team of ML scientists across a spectrum of projects, including computer vision, NLP, and traditional analytics. Prior to his current position, Francis served as a Senior Data Scientist at Amazon, where he was responsible for leading machine learning projects in Worldwide Operations. He was responsible for translating business problems into data project requirements, leading technical development, and managing a team of data and applied scientists. Before that, Francis served as a Data Scientist at Amazon, where he led labor demand forecasting projects for US Operations sites. His responsibilities included business problem framing, stakeholder engagement, technical architecture definition, ML modeling and software development, managing and mentoring junior scientists, and presentations to leadership. Francis has a strong tech stack that includes Data Science, Research Science, ML, Computer Vision, NLP, and Software Engineering. With a relevant experience of over 10 years, Francis has a proven track record of delivering successful projects and driving business growth. He is an excellent communicator and a natural leader who is passionate about using data to solve complex business problems.