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Jaydeep Chauhan

Jaydeep Chauhan

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  • Timeline

  • About me

    Wissenschaftliche Mitarbeiter im Bereich Data Science

  • Education

    • D.A.V. Sirmour Public School, Paonta Sahib

      2007 - 2008
      HSC First

    • St. Mary's Convent School, Vikasnagar

      2005 - 2006
      SSC First

    • Technische Universität Ilmenau

      2018 - 2019
      Master's degree Communication and Signal Processing First

    • Technische Universität Ilmenau

      2019 - 2021
      Master of Science - MS Media Technology First

    • Technische Universität Ilmenau

      2019 - 2019
      Academic Preparation Course (APC) Media Technology First

    • Govind Ballabh Pant Engineering College - India

      2010 - 2014
      Bachelor's degree Electrical, Electronics and Communications Engineering First

  • Experience

    • Accenture in India

      Nov 2014 - Sept 2018

      • Application Development Senior Analyst

        Dec 2017 - Sept 2018

      • Software Engineer

        Dec 2015 - Nov 2017

      • Associate Software Engineer

        Nov 2014 - Nov 2015

    • KNV Logistik GmbH

      Jul 2019 - Aug 2021
      Specialist for warehouse logistics

    • Fraunhofer IDMT

      Jan 2020 - Apr 2024

      • AI/Machine Learning R&D Engineer (Research Associate)

        May 2022 - Apr 2024

      • Diplomierte wissenschaftliche Hilfskraft im Geschäftsfeld

        Nov 2021 - Apr 2022

      • Master Thesis Project at Fraunhofer IDMT

        Jan 2021 - Oct 2021

      • Media Project at Fraunhofer IDMT

        Jan 2020 - Dec 2020

    • GAW Ilmenau (German Adult Education Center)

      Aug 2024 - Dec 2024
      Deutsches Erwachsenen-Bildungswerk (DEB)

    • Technische Hochschule Augsburg

      Jan 2025 - now
      Wissenschaftliche Mitarbeiter

      - Working on Predictive Maintenance Research: Developing predictive maintenance projects to reduce machinery downtime using Python-based machine learning models.- Preparing Research for Reputed Conferences: Conducting research and working towards presenting findings at top conferences to contribute to AI-driven industrial solutions.- Implementing AI-Driven Industrial Solutions: Exploring and applying AI techniques to enhance operational efficiency and fault detection in industrial systems.- Developing Data-Driven Insights: Analyzing industrial data to extract meaningful insights, optimize processes, and improve decision-making.- Collaborating on Cross-Functional AI Projects: Engaging with teams across engineering, data science, and operations to integrate AI-driven solutions into existing workflows.- Enhancing Predictive Analytics Frameworks: Working on improving predictive models by leveraging advanced statistical and deep learning techniques. Show less

  • Licenses & Certifications