Sundeep Tamak

Doctoral Student at Laboratoire des Sciences du Numérique de Nantes (LS2N)
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Contact Information
us****@****om
(386) 825-5501
Location
Nantes, Pays de la Loire, France, FR
Languages
  • English Full professional proficiency
  • Hindi Native or bilingual proficiency
  • French Limited working proficiency

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Credentials

  • Complete SQL Bootcamp
    Udemy
    Sep, 2021
    - Nov, 2024
  • Business for Additive Manufacturing
    European Commission
    Jul, 2021
    - Nov, 2024
  • Process Selection in Additive Manufacturing
    European Commission
    Mar, 2021
    - Nov, 2024

Experience

  • Laboratoire des Sciences du Numérique de Nantes (LS2N)
    • France
    • Higher Education
    • 1 - 100 Employee
    • Doctoral Student
      • Sep 2022 - Present

      A conceptual framework for performance assessment of Circular Supply ChainManagement

    • Research Intern
      • Feb 2022 - Aug 2022

      3D-model based Sustainability Assessment: A Model Validation with KnowledgeFormalization methods

  • National Institute of Technology Kurukshetra
    • India
    • Higher Education
    • 200 - 300 Employee
    • Student Research Intern
      • Jul 2014 - Jun 2015

      The objective of this work was to find the feasibility of machining the OHNS EN-31 workpiece using a circular copper electrode and dielectric flushing. The machining parameter selected were discharge current, pulse on time and feed of the tool and the responses were MRR and TWR. Taguchi Orthogonal array was used to formulate the experimental layout. Response Surface Methodology was used to find the optimal process parameters of Electric Discharge Machining. The objective of this work was to find the feasibility of machining the OHNS EN-31 workpiece using a circular copper electrode and dielectric flushing. The machining parameter selected were discharge current, pulse on time and feed of the tool and the responses were MRR and TWR. Taguchi Orthogonal array was used to formulate the experimental layout. Response Surface Methodology was used to find the optimal process parameters of Electric Discharge Machining.

  • Tecumseh Products Company
    • Industrial Machinery Manufacturing
    • 700 & Above Employee
    • Lean Management Intern
      • Jan 2014 - Jun 2014

      -Conducted workload assessments using Heijunka technique that led to a 30% increase in productivity. -Decreased Cycle time by 11% and eliminate risks associated with manual work -Conducted workload assessments using Heijunka technique that led to a 30% increase in productivity. -Decreased Cycle time by 11% and eliminate risks associated with manual work

Education

  • Ecole centrale de Nantes
    Master of Science - MS, Industrial Engineering | Smart and Connected Enterprise
    2020 - 2022
  • National Institute of Technology Kurukshetra
    Bachelor of Technology - BTech, Industrial Engineering & Management

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