Ítalo Ávila

Lead Data Scientist @ ThoughtWorks

About Ítalo Ávila

Ítalo Ávila is a Lead Data Scientist with extensive experience in data science and AI consulting across various industries. He has held positions at several companies, including Itaú Unibanco and Thoughtworks, and has a strong academic background in Mechanical Engineering from Universidade Federal de Uberlândia.

Current Role at ThoughtWorks

Ítalo Ávila serves as a Lead Data Scientist at ThoughtWorks, a position he has held since 2023. In this role, he applies his extensive knowledge in data science to develop innovative solutions that address complex business challenges. His responsibilities include building, developing, testing, and deploying adaptable services that translate functional and business requirements into actionable deliverables.

Previous Experience at Itaú Unibanco

Before joining ThoughtWorks, Ítalo worked as a Lead Data Scientist at Itaú Unibanco from 2022 to 2023. During his tenure, he contributed to various data-driven projects within the financial sector, leveraging his expertise to enhance decision-making processes and improve operational efficiency.

Experience at AIMIRIM Soluções Tecnológicas

Ítalo worked as a Data Scientist at AIMIRIM Soluções Tecnológicas Integradas LTDA from 2020 to 2021. His role involved analyzing data to provide insights and solutions tailored to the specific needs of clients in different industries.

Background in Engineering and Research

Ítalo has a strong academic background, having earned both a Bachelor's and a Master's degree in Mechanical Engineering from Universidade Federal de Uberlândia (UFU). He also worked as a Research Engineer at MFLab - Laboratório de Mecânica dos Fluidos from 2016 to 2021, where he gained valuable research experience that complements his data science skills.

Programming and Data Science Expertise

With over 9 years of programming experience, Ítalo Ávila possesses a robust foundation in data science and machine learning. His expertise spans various domains, including Finance, Energy, Logistics, Retail, and Manufacturing, enabling him to consult effectively on diverse data science and AI projects.

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