Kewin Sachtleben

Data Scientist at DOJO - Smart Ways
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Contact Information
us****@****om
(386) 825-5501
Location
Santa Catarina, Brazil, BR

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Bio

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Credentials

  • IBM Data Science Specialization
    Coursera
    Jan, 2023
    - Sep, 2024
  • Machine Learning on Google Cloud Specialization
    Coursera
    Jan, 2023
    - Sep, 2024
  • Analyzing Natality Data Using Vertex AI and BigQuery
    Coursera
    Dec, 2022
    - Sep, 2024
  • Running Distributed TensorFlow using Vertex AI
    Coursera
    Dec, 2022
    - Sep, 2024
  • Vertex AI: Qwik Start
    Coursera
    Dec, 2022
    - Sep, 2024
  • IBM Data Analyst Specialization
    Coursera
    Jan, 2021
    - Sep, 2024
  • AutoML Starter
    DataRobot, Inc.
    Dec, 2020
    - Sep, 2024

Experience

  • DOJO - Smart Ways
    • Brazil
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2021 - Present

      I am currently working as a Data Scientist at Dojo Technology, where I have had the opportunity to develop a prediction model using a variety of data science tools and technologies. This includes working with Keras, TensorFlow, SQL, Python, and FastAPI. Recently, I have also had the chance to work with Google Cloud's Vertex AI, a powerful and user-friendly platform for building and deploying machine learning models at scale. Here are some of the top benefits I have experienced while using Vertex AI: Streamlined workflows: Vertex AI provides pre-built or custom pipelines for data preparation, feature engineering, model training, and deployment, making it easy to build, test, and deploy models quickly and efficiently. Scalability: With Vertex AI, you can easily scale up or down to accommodate changes in data volume or model complexity, without worrying about infrastructure management. Collaboration: Vertex AI supports collaborative model development and deployment, enabling teams to work together seamlessly, share resources, and track progress. AutoML capabilities: For users who want to quickly develop models without extensive programming knowledge, Vertex AI offers AutoML, a suite of tools that automates various aspects of the model development process, including data preparation, model selection, and hyperparameter tuning. Comprehensive monitoring and debugging: Vertex AI provides a range of tools for monitoring model performance, tracking errors, and debugging issues, so that users can ensure their models are running smoothly and identify issues quickly. Show less

  • Universidade Federal de Santa Catarina - UFSC
    • Brazil
    • Higher Education
    • 500 - 600 Employee
    • Research Assistant
      • Mar 2016 - Dec 2022

      Artificial intelligence is a tool for aiding in the optimization and resolution of issues in many different fields of research and industry. However, modelling a machine learning algorithm takes up a small portion of a project's development time because the majority time of it will be spent on understanding the problem and producing the data for training. Due to this, the main goals of the current work were to study non-adiabatic quantum dynamics and provide the data required for developing an efficient neural network. In this way, I've been working with Python, JavaScript, HTML, modern Fortran, IBM Cognos analytics, SQL, and these tools to apply machine learning to quantum and mesoscopic systems. Show less

Education

  • Universidade Federal de Santa Catarina
    Doctor's Degree, Physics
    2017 - 2022
  • Universidade Federal de Santa Catarina
    Master's degree, Physics
    2016 - 2017
  • Universidade Federal de Santa Catarina
    Bachelor's degree, Physics
    2010 - 2016

Community

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