Isabela Dambiski Gomes de Carvalho

Isabela Dambiski Gomes de Carvalho has a diverse work experience in various roles and industries. In 2018, they worked as a Scientific Initiation Scholar at Pontifícia Universidade Católica do Paraná. From September 2018 to May 2020, they held this position, which involved conducting scientific research as a scholar.

In 2020, Isabela had two concurrent roles. Firstly, at Dataprom Equipamentos e Serviços de Informática, they had an internship in Computer Engineering from February to December. This position allowed their to gain practical experience in the field of computer engineering. Secondly, they were a Teacher in Robotics at Colegio Senhora De Fatima, starting in January 2020 and continuing until March 2023. As a teacher, they were responsible for teaching robotics to students.

Isabela's academic pursuits continued in 2021 when they became a Master's Scholar in Health Technology at Pontifícia Universidade Católica do Paraná. This role, funded by CAPES, involved focusing on health technology as part of their master's degree.

In 2023, Isabela will join CITS - Centro Internacional de Tecnologia de Software as a Developer. This role represents a new opportunity for their to apply their skills and knowledge in software development.

Isabela Dambiski Gomes de Carvalho began their education journey in 2016 at Pontifícia Universidade Católica do Paraná, where they pursued a degree in Computer Engineering. Isabela completed their undergraduate studies in 2020. In 2021, Isabela enrolled in Pontifícia Universidade Católica do Paraná once again, this time to pursue a Master's Degree in Health Technology, specializing in Tecnologia em Saúde (Health Technology). Their expected completion for the master's program is in 2023.

In addition to their formal education, Isabela has obtained several certifications from Udemy related to Convolutional Neural Networks (CNN) and Deep Learning. In 2022, they obtained certifications in "Convolutional Neural Networks in Python: CNN Computer Vision," "Convolutional Neural Networks with TensorFlow in Python," "Deep Learning: Visão Computacional, CNNs e Transfer Learning," "Everything about Convolutional Neural Networks [2022]," and "Python for Deep Learning: Build Neural Networks in Python." In 2022, they also obtained a certification in "Convolutional Neural Networks for Image Classification" in March.