Gabriel Rieger Junqueira
About Gabriel Rieger Junqueira
Gabriel Rieger Junqueira is a skilled data scientist with extensive experience in data analysis and engineering. He currently works at Hydro Québec and Brizo FoodMetrics, and has previously held positions at various organizations including Crakmedia and iA Financial Group.
Current Work at Brizo FoodMetrics
Gabriel Rieger Junqueira currently works as a Data Scientist at Brizo FoodMetrics, a position he has held since 2022. In this role, he applies his data analysis skills to enhance food industry metrics and insights. His responsibilities include utilizing advanced analytical techniques to drive data-driven decision-making within the organization.
Previous Experience in Data Science and Engineering
Gabriel has held various positions in data science and engineering. He worked as a Data Engineer at Hydro Québec since 2021 and at Trailblazers Research Team since 2019. His previous roles include Data Scientist at Crakmedia and Senior Data Analyst at iA Financial Group. Additionally, he served as a Data Analyst at Harnois Énergies and Bradesco, accumulating extensive experience in data manipulation and analysis.
Education and Expertise in Data Science
Gabriel Rieger Junqueira has a strong educational background in data science and related fields. He earned a Master's degree in Artificial Intelligence from Université Laval from 2020 to 2023. He also completed an AEC in Big Data & Business Intelligence at Collège de Bois-de-Boulogne from 2018 to 2019. Furthermore, he holds a Bachelor's degree in Mathematics from USP - Universidade de São Paulo, achieved from 2008 to 2012. He also completed a Data Scientist Nanodegree at Udacity in 2020.
Technical Skills and Tools
Gabriel possesses a diverse set of technical skills relevant to data science and engineering. He is proficient in SQL for data manipulation and analysis. He has experience with cloud platforms such as AWS and Azure, which he utilizes for data analysis tasks. Additionally, he has expertise in developing machine learning models using Python and R, and he is skilled in creating dashboards with PowerBI and Tableau.
Contributions to the Data Science Community
Gabriel has contributed to the data science community through open-source projects on GitHub. These contributions demonstrate his commitment to sharing knowledge and collaborating with other professionals in the field. His involvement in such projects highlights his expertise in data science and engineering.