Niklas Pickert

Data Scientist at Enter
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Contact Information
us****@****om
(386) 825-5501
Location
Germany, DE

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Credentials

  • Machine Learning
    Coursera
    Dec, 2020
    - Nov, 2024

Experience

    • Germany
    • Renewable Energy Semiconductor Manufacturing
    • 1 - 100 Employee
    • Data Scientist
      • Oct 2023 - Present

    • Data Science Intern
      • Jun 2023 - Sep 2023

    • Germany
    • Software Development
    • 100 - 200 Employee
    • Full-Time Machine Learning Intern
      • Dec 2022 - May 2023

      - Contributed to the development of Deep Learning based depth estimation models based on satellite imagery - Written Python code for the acquisition and preprocessing of training data - Set up training environments and evaluated model capabilities through ML experiments - Contributed to the development of Deep Learning based depth estimation models based on satellite imagery - Written Python code for the acquisition and preprocessing of training data - Set up training environments and evaluated model capabilities through ML experiments

    • Germany
    • Software Development
    • Machine Learning Working Student
      • Nov 2021 - Nov 2022

      Implemented and optimized a Deep Learning based edge detection model for document scanning. Implemented and optimized a Deep Learning based edge detection model for document scanning.

    • Germany
    • Machinery Manufacturing
    • 1 - 100 Employee
    • Working Student Research & Development
      • Mar 2021 - Aug 2021

      Conducted experiments for the evaluation of the properties of industrial lubricants. Conducted experiments for the evaluation of the properties of industrial lubricants.

    • Germany
    • Automotive
    • 700 & Above Employee
    • Manufacturing Engineering Intern
      • May 2020 - Oct 2020

      - supported the evaluation and ramp-up of new manufacturing processes - analyzed process errors and their root causes using statistical methods and Python - evaluated the accuracy of computer vision systems - supported the evaluation and ramp-up of new manufacturing processes - analyzed process errors and their root causes using statistical methods and Python - evaluated the accuracy of computer vision systems

Education

  • Maastricht University
    Pre-Master, Data Science & AI
    2022 - 2022
  • Hochschule Koblenz (Koblenz University of Applied Sciences)
    Master of Science - MS, Business Engineering
    2021 - 2022
  • Cologne University of Applied Sciences
    Bachelor of Engineering - BE, Industrial Engineering
    2017 - 2021

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