Cássio Henrique De Moraes

Cássio Henrique De Moraes

Data Engineer @ BairesDev

About Cássio Henrique De Moraes

Cássio Henrique De Moraes is a Data Engineer with a strong background in data science and engineering. He has worked in various roles across multiple companies and is currently enhancing his expertise through an MBA in Data Science and Analytics.

Work at BairesDev

Cássio Henrique De Moraes has been employed at BairesDev as a Data Engineer since 2022. His role is remote and based in São Paulo, Brazil. In this position, he focuses on creating and managing data pipelines, leveraging his expertise in AWS technologies.

Education and Expertise

Cássio studied at Universidade Federal de Minas Gerais, where he achieved a Specialist in Statistics from 2020 to 2022. He also studied Mechanical Engineering at Escola de Engenharia da Universidade do Minho, earning a Bachelor of Mechatronics Engineering from 2012 to 2013. Currently, he is pursuing an MBA in Data Science and Analytics, further enhancing his skills in data-driven decision-making.

Background in Data Science

Cássio has a diverse background in data science, having worked in various roles. He served as a Data Science Intern at ihm stefanini from 2017 to 2018, followed by a position as a Data Scientist at the same company from 2018 to 2020. He then worked at Primetals Technologies as a Data Scientist from 2020 to 2021 and at Unimed BH as a Senior Data Scientist from 2021 to 2023.

Technical Skills and Tools

Cássio possesses proficiency in creating data pipelines and managing data streams using AWS Kinesis and DynamoDB. He has expertise in deploying machine learning models on AWS services, including SageMaker and Lambda. His technical skills also include advanced machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face, which he utilizes for developing predictive models.

Research Experience

Cássio has research experience from his time at CNPq - MCT, where he worked as a Researcher for 11 months in Braga, Portugal, from 2012 to 2013. This role contributed to his foundational knowledge in data science and analytics.

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