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Camila Larrosa

Data Scientist at Datarmony

Camila Larrosa's work experience includes positions in various companies and roles. In 2012, they worked as an Electrical Designer Intern at Juliano e Fernandes, where they gained proficiency in electrical projects and collaborated with a team. In 2015, they worked as a Laboratory Technician in Geotechnical Engineering at Universidade Federal do Rio Grande - FURG, performing geotechnical laboratory tests. The following year, they worked as an Administration Secretary at Liderança cursos preparatórios, where they developed skills in sales, communication, and financial management. In 2017, they conducted geotechnical engineering research at CNPq, focusing on evaluating undrained resistance. From 2016 to 2019, they worked as a Geotechnical Engineering Researcher at Universidade Federal do Rio Grande - FURG, conducting research on sustainable construction and evaluating undrained strength. In 2018, they interned as a Project Management Intern at Fernando Signorini Engenharia Ltda., gaining experience in residential building execution and problem-solving. From 2020 to 2021, they worked as a self-employed Civil Engineering Professional, working on architectural and engineering projects and managing a beach house construction project. In 2021, they worked as a Project Manager at Total Projetos Arq. & Eng., where they managed projects, calculated materials, and led a team. Currently, they hold the position of Data Scientist at Datarmony, beginning in 2022.

Camila Larrosa's education history is as follows:

Camila completed their Master's in civil engineering at the Federal University of Rio Grande do Sul from 2019 to 2021. Camila'sfield of study was Engenharia.

From 2019 to 2020, they pursued a Postgraduate Degree in Geotechnical Engineering at Faculdade Unyleya.

Prior to that, they obtained a Civil Engineering Degree from the Universidade Federal do Rio Grande - FURG, where they studied from 2013 to 2018. Camila'sfield of study during this time was Civil Engineering.

In addition to their formal education, Camila obtained various certifications. In 2022, they obtained certifications in Basic R for beginners from Didática Tech, Machine Learning from Udemy, and Reinforcement Learning with Deep Learning, PyTorch and Python from Udemy.

In 2022, they also completed a course titled Introduction to Data Science in Python by University of Michigan on Coursera. Earlier that year, they obtained certifications in Python para Análise de Dados and SQL para Análise de Dados from Udemy.

Furthermore, Camila holds certifications in Yellow Belt (Lean Six Sigma) from Yokoten Desenvolvimento Pessoal e Empresarial and White Belt (Lean Six Sigma) from MF Treinamentos, both obtained in 2022.

Camila also completed a course on Data Analytics for Lean Six Sigma from Universiteit van Amsterdam in 2022.

Among their earlier certifications, they completed a course on Concepts and Characteristics of the Projects from Fundação Getulio Vargas in 2020.

In 2017, Camila obtained a certification in QGIS short course from Universidade Federal do Rio Grande - FURG. In 2016, they completed a course on Geotechnologies: Digital Cartography Practices from the IFRS.

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