Daniel Benjamim

Daniel Benjamim is a seasoned data scientist currently serving as the Lead Data Scientist at Turing since December 2022, where leadership includes teaching data science to advanced large language models. Prior to this role, Daniel worked at a leading AI company on multimodal language models. Experience also includes a position as Data Scientist II at Topaz, focusing on the creation of a model for identifying suspicious customer behavior, and as Data Scientist I at MRO Logistics, where predictive models were developed to optimize logistic processes. Early career roles involved significant contributions as a Data Science Intern at Localiza, where Daniel handled various data tasks for a project on potential bad clients, and as an intern at Ingredion Incorporated. Educational qualifications include a Technologist degree in Data Science from Centro Universitário Metodista Izabela Hendrix and a Bachelor’s degree in Chemical Engineering from Universidade Federal Fluminense, complemented by additional training from Udacity.