• Tera

  • Henrique Santana

Henrique Santana

MBA Professor at Tera

Henrique Santana has a diverse work experience spanning multiple industries and roles. Henrique has worked as a Principal Data Engineer - MLOps at Dell Technologies since 2023, where they are responsible for designing, deploying, monitoring, and maintaining production machine learning pipelines. Previously, they worked at Tera as a Lead Data Instructor from 2020 to 2022 and as a Data Instructor from 2020 to 2022. Henrique also held the position of Head of Data & Machine Learning at cloud humans from 2022 to 2023, where they built and led two teams focused on machine learning and data engineering. Prior to that, they served as a Data Product Manager - MLOps at Dell Technologies from 2021 to 2022. Henrique has also held various other positions, including Technical Product Manager and Automation Manager - Ops at Loft, Head of Payments at Grow Mobility, Data Scientist at Pagar.me, and Data Scientist at Braspag. Henrique began their career as a Technical Supervisor at Michell Instruments and as an Engineering Intern at Nexans.

Henrique Santana completed their education in the following chronological order:

- From 2020 to 2022, they pursued an Artificial Intelligence Specialization degree in Lato Sensu at PUC Minas.

- Prior to that, from 2018 to 2020, they studied System Analysis and Development in the field of Information Technology at Universidade Veiga de Almeida.

- Henrique'sundergraduate degree was in Electrical Engineering with a focus on Electronics, which they earned from UERJ between 2014 and 2018.

- Finally, from 2007 to 2010, they obtained a Technician certification in Electromechanical Technology from Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca.

In addition to their formal education, Henrique Santana also holds various certifications. These include:

- "Fundamentals of Accelerated Computing with CUDA C/C++" from NVIDIA (to be obtained in 2023).

- "Deep Learning Nanodegree" from Udacity (obtained in 2018).

- "Kanban" from Adaptworks (obtained in 2018).

- "Building a Recommendation System with Python Machine Learning & AI" from LinkedIn (obtained in 2017).

Location

São Paulo, Brazil

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