Daniel Benjamim
About Daniel Benjamim
Daniel Benjamim is a data scientist with experience in various roles, including positions at MRO Logistics and Topaz. He holds a Technologist degree in Data Science and has a strong interest in automating processes and utilizing machine learning tools.
Work at Turing
Daniel Benjamim has been employed at Turing as a Data Scientist since 2022. His role involves utilizing data science techniques to solve complex problems and contribute to innovative projects. Turing is known for its focus on remote work and connecting skilled professionals with leading companies, allowing Daniel to apply his expertise in a dynamic environment.
Education and Expertise
Daniel holds a Technologist degree in Data Science from Centro Universitário Metodista Izabela Hendrix, where he studied from 2019 to 2021. He also completed a Bachelor’s degree in Chemical Engineering at Universidade Federal Fluminense from 2013 to 2018. In addition to his formal education, he pursued further training as a Machine Learning DevOps Engineer at Udacity in 2023. His educational background equips him with a solid foundation in both data science and engineering principles.
Background
Daniel began his career as an intern at Ingredion Incorporated from 2017 to 2018, where he gained initial experience in the field. He continued to develop his skills as a Data Science Intern at Localiza from 2020 to 2021. He then worked at MRO Logistics as a Data Scientist I for six months in 2021 before advancing to a Data Scientist II position at Topaz from 2021 to 2022. This progression highlights his commitment to growth in the data science domain.
Achievements
Daniel has demonstrated a passion for automating processes and predicting outcomes through programming and machine learning tools. He describes himself as an inventor, constantly exploring creative applications of technology. His strong ability in divergent thinking enables him to approach problem-solving unconventionally. Additionally, he has engaged in creative pursuits, producing various artistic outputs, including music and writing.
Professional Development
To enhance his interpersonal skills and networking abilities, Daniel enrolled in a speech course at Vox2You from 2019 to 2020. This commitment to professional development complements his technical expertise and supports his career in data science, allowing him to communicate effectively in collaborative environments.