Gabriel Viana

Gabriel Viana

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Senior Machine Learning Engineer @ phData | ML and Artificial Intelligence Expert | AWS | Snowflake | Python | SQL | MLOps | LLMOps | MSc | Tech Lead
Montes Claros, State of Minas Gerais, Brazil
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Résumé

Jobs verified_user 0% verified
  • phData
    Senior Machine Learning Engineer
    phData
    Nov 2025 - Current (11 months)
  • Novo Nordisk
    IT Senior Professional - Data & Systems Tech Lead
    Novo Nordisk
    Apr 2024 - Sep 2025 (1 year 6 months)
    • Led the implementation and integration of a data architecture, data services (OSIsoft PI System) and digitalization systems (MES, ERP, LIMS, QMS) for a new facility, collaborating with global stakeholders to ensure architectural cohesion and a seamless deployment.
    • Mentored and upskilled a cross-functional team in analytics, statistics, and machine learning methodologies using Python and SQL.
    • Directed cross-functional teams in an Agile environment to deliver high-value data solutions across multiple business units, utilizing Azure, on-premise architecture, industrial equipment, MES (PAS-X) and SAP ERP.
    • Orchestrated stakeholder engagement, in global collaboration, for data architecture and digital systems (MES, ERP), se
  • I
    IT Senior Professional | Data & Systems Tech Lead
    Apr 2024 - Sep 2025 (1 year 6 months)
    In my role as Technical Leader, I was responsible for monitoring and overseeing the implementation and integration of data services and digitalization systems l in large-scale projects at the Montes Claros site. In a highly dynamic environment, I was able to lead a cross-functional team to deliver value to process areas, centralizing the point of contact with global teams, serving as a reference for systems and data architectures, and mentoring people.
  • S
    Senior Data Scientist
    Sep 2023 - Apr 2024 (8 months)
    • Implemented a new stakeholder management framework that fostered closer Global team collaboration. By systematically incorporating user feedback into the development cycle, we increased feature relevance and improved the precision of model results.
    • Upgraded the anomaly detection Machine Learning algorithm (using AWS, Typescript, Postgreesql, MLOps) to be production-line independent by incorporating adaptive tuning parameters (including learning rates and dynamic percentile thresholds), increasing model flexibility and precision across varied manufacturing environments, improving the system usage in 10+ new production lines.
    • Developed a deterministic pattern recognition algorithm, in python and sql, that prevented deviations
  • S
    Senior IT Analyst | Data Scientist
    Sep 2023 - Apr 2024 (8 months)
    As a Data Scientist at Novo Nordisk, I work alongside the global Manufacturing Intelligence team. I have the responsibility of transforming raw data into actionable information that drives strategic decision-making, my main responsibilities are:
    Lead the development and implementation of statistical and machine learning models using cloud architecture, impacting operational efficiency and generating cost savings.
    Work collaboratively with business teams to understand their needs and deliver customized data solutions.
    Regularly present analysis results to senior management, translating complex conclusions into clear, actionable recommendations.
  • Novo Nordisk
    Data Scientist
    Novo Nordisk
    Feb 2022 - Aug 2023 (1 year 7 months)
    • Deployed a Manufacturing Intelligence Hub during a 6-week immersion in Europe (Bagsværd, Denmark) through collaboration with a global team to establish a centralized data platform and ensure its operational stability.
    • Developed and deployed unsupervised learning models using AWS, Python, TypeScript, and PostgreSQL to detect equipment anomalies, reducing unplanned downtime and cutting operational support requirements by 50% across 70+ production lines (Denmark-based collaboration).
    • Architected a data-driven analytics methodology to guide executive-level project prioritization using Python, SQL and Power BI. Applied statistical hypothesis testing to variables such as criticality and recurrence, quantifying project impact and s
  • Novo Nordisk
    IT Analyst | Data Scientist
    Novo Nordisk
    Feb 2022 - Aug 2023 (1 year 7 months)
    Modeling and operation of statistical and machine learning models applied to Industry together with the global Manufacturing Intelligence team.
    I spent 6 weeks in Bagsværd, denmark to start working in global collaboration with the team.
    I was responsible for creating an algorithm of unsupervised learning that increased efficiency in detecting failures in production equipment, directly impacting more than 70 production lines around the world, presenting the necessary dynamism for the context to which it applies. Most of this was implemented using AWS, Python, Typescript and Postgresql.
    At the same time, I work on the company's "Data Driven" transformation and cultural process, disseminating knowledge in Statistics and Data Sc
  • Novo Nordisk
    IT Analyst | Business Intelligence & Automation Engineer
    Novo Nordisk
    Dec 2019 - Jan 2022 (2 years 2 months)
    Develop software solutions focused on process digitization and scalability (RPA, RDA, Scripting) and Business Intelligence, working with the global process digitization team. Having digitized dozens of processes on a large scale.
    Co-responsible for creating a process automation center of excellence (CoE) that provides services to affiliates worldwide, scaling and automating complex businesses.
  • B
    Business Intelligence & Automation Engineer
    Dec 2019 - Jan 2022 (2 years 2 months)
    • Designed and implemented a BI solution (Tableau, Alteryx, SQL, Scripting) to proactively identify batch allocation issues through key performance indicators (KPI). This empowered planners to prevent losses and enhance overall production process quality.
    • Pioneered the adoption of Business Intelligence tools, enhancing team skills in SQL, Power BI, and Tableau.
    • Served as a technical reference for the Process Automation Center of Excellence (Uipath, Python), resolving complex challenges and automating manual tasks.
    • Active use of English communication on a daily basis when interacting with global teams and stakeholders.

    Main Stacks: Python, SQL, Azure, Data Engineering, Power BI, Tableau, UiPath, Applied Statis
  • Novo Nordisk
    IT Technician | RPA Developer - Short Term Assignment
    Novo Nordisk
    Sep 2019 - Nov 2019 (3 months)
    My main role is to escalate business through Robotic Process Automation Solutions and Business Intelligence in Global Center of Excellence.
    I was a key person to build best practices and collaboration between the Global and local team in Brazil.
  • R
    Robotic Process Automation Developer (Short Term Assignment)
    Sep 2019 - Nov 2019 (3 months)
    • I did an STA of 3 months in Denmark with the aim of absorbing good practices and good relationships with the global team (Denmark-based), with the goal of establishing a long-term partnership.
    • Mapped and optimized business processes in SAP, PAS-X and LIMS, have direct partnership with stakeholders in France, US and Denmark.
    • Implemented process automation solutions using uipath, scripts and python in processes areas of logistics and quality control
    • Active use of English communication on a daily basis.

    Main Stacks: Python, SQL, Azure, Data Engineering, Power BI, Tableau, UiPath
  • Novo Nordisk
    Robotic Process Automation Developer
    Novo Nordisk
    Feb 2018 - Aug 2019 (1 year 7 months)
    • Automated approximately 300 hours per month in business processes, enhancing efficiency and reducing manual tasks using Uipath, Python, SQL and API communication.
    • Contributed to improving code quality and scalability by advocating for coding best practices within the team.
    • Played a key role in establishing a Center of Excellence, delivering process automation solutions globally.

    Main Stacks: Python, SQL, Azure, Data Engineering, Power BI, Tableau, UiPath
  • I
    IT Technician | RPA Developer
    Feb 2018 - Aug 2019 (1 year 7 months)
    Escalate business through Robotic Process Automation Solutions and Business Intelligence solutions
  • S
    Software Engineer
    Jan 2014 - Jan 2018 (4 years 1 month)
    Development of Web and Desktop solutions.
  • freelance
    Software Engineer
    freelance
    Jan 2014 - Jan 2018 (4 years 1 month)
    Development of Web and Desktop solutions.
Education verified_user 0% verified
  • Universidade Estadual de Montes Claros
    Master Degree, Mathematics and Computer Science
    Universidade Estadual de Montes Claros
    Mar 2022 - Mar 2024 (2 years 1 month)
    Managing anomalies in industrial production plants is crucial, but it is severely hampered by traditional statistical methods. These conventional approaches are ill-suited for the modern, non-stationary (constantly changing) environment, as they require strict assumptions that are often violated.

    This study proposed the Typicality and Eccentricity Data Analytics (TEDA) algorithm as a superior alternative. While TEDA showed significant advantages, a variation incorporating a "forgetting factor" proved even more effective.

    This enhanced version of TEDA is autonomous, adaptive, and operates in real-time. Its implementation resulted in improved scalability and easier operation. Crucially, it was highly rated by users for b
  • Unimontes
    Master Degree, Mathematics and Computer Science
    Unimontes
    Jan 2022 - Dec 2024 (3 years)
    Managing anomalies in industrial production plants is crucial, but it is severely hampered by traditional statistical methods. These conventional approaches are ill-suited for the modern, non-stationary (constantly changing) environment, as they require strict assumptions that are often violated. This study proposed the Typicality and Eccentricity Data Analytics (TEDA) algorithm as a superior alternative. While TEDA showed significant advantages, a variation incorporating a "forgetting factor" proved even more effective. This enhanced version of TEDA is autonomous, adaptive, and operates in real-time. Its implementation resulted in improved scalability and easier operation. Crucially, it was highly rated by users for being more successful a
  • I
    Bachelor's degree, Computer Science
    IFNMG Campus Montes Claros
    Jan 2013 - Dec 2018 (6 years)
    The course aims to train human resources with solid foundations in Computing, Mathematics, Computational Problem Solving and creation of Computing Systems, in addition to technological, complementary and humanistic training, with a view to the needs of society, producing and applying technologies for a better quality of life for the population.
  • I
    Associate's degree, Software Engineering
    IFNMG Campus Montes Claros
    Jan 2010 - Dec 2012 (3 years)
    This course focuses on practical skills for software engineering, in brazillian standards is called a technical course. During this time, I was involved in projects such as creating educational websites, e-commerce, desktop applications, and database modeling.
Projects (professional or personal) verified_user 0% verified
  • Y
    Young Talents for Science Program
    Mar 2014 - Feb 2015 (1 year)
    I received a scientific initiation grant from the Brazilian government, during which I conducted research in natural computation and genetic algorithms. Under the guidance of professors, our study group focused on directed research in these areas. We authored academic papers and implemented state-of-the-art algorithms to address classic optimization problems. Additionally, I developed an ant colony-inspired algorithm to solve the maximum diversity problem that was presented in a congress in other state ( Rio de Janeiro). Stacks: Python, Matlab, Optimization, Evolutionary Algorithms
  • P
    Programa Jovens Talentos para a Ciência - Capes
    Mar 2014 - Feb 2015 (1 year)
    O programa, de inciativa da CAPES e do CNPq, tem como objetivo motivar o estudante a investir em seu aprendizado e a desenvolver um padrão de excelência desde o início de sua graduação.