Daniel Manzano is a Data Scientist and Quant Researcher with experience in financial services and corporate analytics. They have delivered impactful, data-driven projects, specializing in predictive models for strategic applications. Currently, Daniel is pursuing a Ph.D. in Financial Forecasting with Machine Learning at FGV EAESP, and serves as a Data Scientist at Stefanini Group. Previously, Daniel worked at Brazil Post as a Data Scientist and at Bells & Bayes Rating Analytics as an Associate Researcher, among other roles in the financial sector. Daniel's academic background includes degrees and programs from prestigious institutions, including Fundação Getulio Vargas and Stanford University.
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