Tejal Khullar

Tejal Khullar

Deputy Editor In Chief

Followers of Tejal Khullar2000 followers
location of Tejal KhullarReading, England, United Kingdom

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  • Timeline

  • About me

    Researcher in Technology

  • Education

    • Manipal Institute of Technology

      2015 - 2019
      Bachelor of Technology Automobile Engineering
    • University of Leeds

      2021 - 2022
      Master of Science - MSc Automotive Engineering
  • Experience

    • Manipal The Talk Network

      Apr 2017 - Apr 2018
      Deputy Editor In Chief

      • Led a team of over a hundred students from various colleges as the deputy head of the largest student run media organization in Manipal.• The position demanded internal overseeing and delegation of the four major departments in MTTN (Writing, Photography, Public Relations and Business Development), as well as managing external relations.• Actively engaged in writing, editing and publishing of articles as head of the writing department.Article archive link: https://www.manipalthetalk.org/author/tejal/ Show less

    • EY

      May 2018 - Jun 2018
      Summer Intern

      • Worked alongside the department of Risk Advisory and assisted the development and improvement of Atom, EY's indigenous Software Asset Management (SAM) tool.• Facilitated software testing and data cleansing through extensive development of macro codes in MS-Excel.

    • Universität Paderborn

      Sept 2019 - Nov 2019
      Project Intern (Department of Mathematics and Information)

      • Obtained a DAAD Scholarship for a two-month practical training under a professor in the University of Paderborn, Germany. • Studied Algorithmic Differentiation and understood concepts of forward and reverse mode differentiation. • Worked on ADOL-C Software and built test cases for both reverse and forward modes of scalar and vector higher order differentials on Linux operating system and wrote test codes using C++ programming language.

    • Tibil Solutions

      Jul 2020 - Aug 2020
      Data Analyst Intern

      • Created a supervised machine learning model for Predictive Maintenance of machines using Python.• Predicted failure of CNC machine spindle against factors such as vibration, pressure, voltage and RPM by applying Machine Learning and Neural Networks concepts on two different datasets obtained from Kaggle. • Implemented trial and error on linear regression, ANN and LSTM models to obtain least prediction error.

    • TRL

      Sept 2022 - now
      Graduate Researcher
  • Licenses & Certifications

    • Advanced Studies in Computer Vision

      London School of Business and Research (LSBR)
      Jun 2025
    • Green Digital Skills

      INCO Academy
      Dec 2022
      View certificate certificate
    • Google IT Support Certificate

      Coursera
      Jan 2022
      View certificate certificate
    • Machine Learning Crash Course

      Google
      Aug 2020
  • Honors & Awards

    • Awarded to Tejal Khullar
      DAAD Scholarship (IAESTE) DAAD: German Academic Exchange Service Sep 2019
    • Awarded to Tejal Khullar
      Academic Excellence Award - 2018
    • Awarded to Tejal Khullar
      Academic Excellence Award - 2017