Henrique Santana

Henrique Santana

Head Of Data & Machine Learning @ cloud humans

About Henrique Santana

Henrique Santana serves as the Head of Data & Machine Learning at cloud humans and has a robust background in data science and product management, with experience in both technical and managerial roles. He has worked internationally and held leadership positions in various companies, demonstrating expertise in payments and fraud prevention.

Current Role at Cloud Humans

Henrique Santana serves as the Head of Data & Machine Learning at Cloud Humans since 2022. In this role, he leads initiatives focused on data-driven solutions and machine learning applications. His responsibilities include overseeing data strategies and implementing machine learning models to enhance business processes.

Professional Experience in Data Science and Product Management

Henrique has a diverse professional background in data science and product management. He previously worked at Dell Technologies as a Data Product Manager specializing in MLOps for one year. His experience also includes roles as a Data Scientist at Braspag and Pagar.me, where he contributed to data analysis and machine learning projects.

Educational Background and Specializations

Henrique Santana studied at several institutions, including Pontifícia Universidade Católica de Minas Gerais, where he completed a specialization in Artificial Intelligence from 2020 to 2022. He also holds a degree in Electrical Engineering from Universidade do Estado do Rio de Janeiro and a Technician qualification in Electromechanical Technology from Cefet/RJ.

Leadership and Teaching Experience

Henrique has held various leadership positions, including Head of Payments at Grow Mobility and Lead Data Expert at Tera, where he also taught data-related subjects. His teaching experience at Tera as a Data Expert (Teacher) reflects his commitment to sharing knowledge in the field of data science and machine learning.

Technical Skills and Expertise

Henrique possesses strong technical skills in data science, machine learning, and payments. His expertise includes developing data solutions for fraud prevention and implementing machine learning strategies across different organizations. His technical background supports his managerial roles in data-driven environments.

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