Daniel Wolbert

Data & AI Lead

Minas Gerais, Brazil
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Summary

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Senior
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Top School
Daniel Wolbert is a Data & AI leader with 13 years of experience building and scaling end-to-end data science solutions across finance, logistics and technology. Currently leading Data & AI at iFood after spearheading initiatives at Inter and Accenture, he blends operations research, optimization and machine learning to turn complex business problems into production-grade, measurable outcomes. His background—MSc in Industrial Engineering from Lehigh and an engineering degree from UFMG—gives him a strong quantitative foundation and a knack for designing robust, optimization-driven systems. Daniel routinely manages cross-functional teams and stakeholders to embed data-driven decision making into organizational workflows, while prioritizing scalable architectures and operational rigor. Colleagues describe him as a pragmatic innovator who balances technical depth with strategic leadership, often translating academic techniques into practical business value. Based in Minas Gerais, Brazil, he brings a global consulting mindset combined with hands-on delivery experience in large enterprises.
code13 years of coding experience
job10 years of employment as a software developer
bookTécnico em Informática, Tecnologia da Informação, Técnico em Informática, Tecnologia da Informação at Centro Federal de Educação Tecnológica de Minas Gerais
bookMaster of Science (MSc), Industrial Engineering, Master of Science (MSc), Industrial Engineering at Lehigh University
bookBachelor's degree, Engenharia de Controle e Automação, Bachelor's degree, Engenharia de Controle e Automação at Universidade Federal de Minas Gerais
languagesEnglish
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Github Skills (2)

cryptocurrency3
finance2

Github contributions (2)

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dxwolb/Thesis-Research

Jan 2016 - May 2016

Contributions:85 pushes, 1 branch in 3 months
Contributions:104 commits in 4 months
financecryptocurrency
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