Maila Zorzan Dos Santos
About Maila Zorzan Dos Santos
Maila Zorzan Dos Santos is a Senior Data Scientist with extensive experience in data analytics and engineering. She has worked for various companies including Itaú Unibanco and Neon, and currently holds a position at Thoughtworks.
Current Role at ThoughtWorks
Maila Zorzan Dos Santos serves as a Senior Data Scientist at ThoughtWorks since 2023. In this role, she utilizes her expertise in data science to drive insights and support decision-making processes. Her position is remote, allowing her to collaborate with teams across various locations.
Previous Experience in Data Science
Prior to her current role, Maila worked as a Senior Data Scientist at Neon from 2022 to 2023. She also held a position as a Data Scientist at Itaú Unibanco from 2019 to 2022, where she contributed to data-driven projects. Additionally, she participated in the Itaú Analytics Analyst Program in 2018 and worked as a Data Engineer and System Analyst at the same institution.
Educational Background
Maila Zorzan Dos Santos has a strong educational foundation in computer science and engineering. She earned her Bachelor's degree in Computer Science from Universidade Estadual Paulista Júlio de Mesquita Filho from 2008 to 2012. She further specialized in Data Science at Instituto Tecnológico de Aeronáutica - ITA in 2018. Additionally, she studied Electrical and Electronic Engineering at Senai São Paulo, achieving specialization in Electronic Control Systems from 2016 to 2018.
Early Career Experience
Maila began her career as an Intern at TU Clausthal - Technische Universität Clausthal in 2012. She then joined MHA Engenharia, where she worked as an IT Trainee from 2013 to 2014 and later as an IT Analyst in 2014. These early roles provided her with foundational experience in IT and analytics.
Specialization in Big Data Analytics
Maila Zorzan Dos Santos achieved specialization in Big Data Analytics at FIA - Fundação Instituto de Administração from 2018 to 2019. This program equipped her with advanced skills in managing and analyzing large datasets, further enhancing her capabilities in data science.