Ankit Biswas

Core Team Member at Data Science Group, IIT Roorkee
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Contact Information
us****@****om
(386) 825-5501
Location
IN

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Credentials

  • Generative Adversarial Networks (GANs) Specialization
    Coursera
    Oct, 2020
    - Nov, 2024
  • Self-Driving Cars Specialization
    Coursera
    Oct, 2020
    - Nov, 2024
  • Natural Language Processing Specialization
    Coursera
    Sep, 2020
    - Nov, 2024
  • Reinforcement Learning Specialization
    Coursera
    Aug, 2020
    - Nov, 2024
  • Perform Real-Time Object Detection with YOLOv3
    Coursera
    Jul, 2020
    - Nov, 2024
  • SQL for Data Science
    University of California, Davis
    Jul, 2020
    - Nov, 2024
  • Google IT Automation with Python Specialization
    Coursera
    May, 2020
    - Nov, 2024
  • Image Super Resolution Using Autoencoders in Keras
    Coursera
    May, 2020
    - Nov, 2024
  • Deep Learning A-Z™: Hands-On Artificial Neural Networks
    SuperDataScience
    Jan, 2020
    - Nov, 2024
  • Machine Learning A-Z™: Hands-On Python & R In Data Science
    SuperDataScience
    Dec, 2019
    - Nov, 2024

Experience

  • Data Science Group, IIT Roorkee
    • India
    • Software Development
    • 1 - 100 Employee
    • Core Team Member
      • Jan 2020 - Present

      Data Science Group IITR serves to work on innovative open source projects in the domain of Machine Learning & Deep Learning bridging the gap between research and industry. Github - https://github.com/dsgiitr/ Data Science Group IITR serves to work on innovative open source projects in the domain of Machine Learning & Deep Learning bridging the gap between research and industry. Github - https://github.com/dsgiitr/

  • Microsoft
    • United States
    • Software Development
    • 700 & Above Employee
    • Data and Applied Scientist Intern
      • May 2022 - Jul 2022

      Worked on building an end to end machine learning pipeline using the tensorflow extended framework for the invoice anomaly detection project. Worked on building an end to end machine learning pipeline using the tensorflow extended framework for the invoice anomaly detection project.

  • Vision and Language Group
    • India
    • Software Development
    • 1 - 100 Employee
    • Core Team Member
      • Jan 2020 - Oct 2021

      Vision and Language Group, is a student-run deep learning centric group of IIT Roorkee. We meet up regularly to take up discussions on latest advancements in the deep learning field by reviewing various papers accepted in various tier-1 DL/CV/NLP conferences. With a strong collaborative history, we have taken up projects under professors from different universities, some of which have even lead to publications in tier-1 DL conferences. Github: https://github.com/vlgiitr Vision and Language Group, is a student-run deep learning centric group of IIT Roorkee. We meet up regularly to take up discussions on latest advancements in the deep learning field by reviewing various papers accepted in various tier-1 DL/CV/NLP conferences. With a strong collaborative history, we have taken up projects under professors from different universities, some of which have even lead to publications in tier-1 DL conferences. Github: https://github.com/vlgiitr

  • Institute Alumni Relations Cell, IIT-Roorkee
    • India
    • Non-profit Organizations
    • 1 - 100 Employee
    • Web Developer
      • Aug 2019 - Apr 2021

      The Institute Alumni Relations Cell is founded with an aim to provide a connectivity link between the alumni and the Alma-Mater for the betterment of all concerned. ARC is a student-driven committee under the overall supervision of the Dean of Alumni Affairs The Institute Alumni Relations Cell is founded with an aim to provide a connectivity link between the alumni and the Alma-Mater for the betterment of all concerned. ARC is a student-driven committee under the overall supervision of the Dean of Alumni Affairs

  • BotSupply
    • Denmark
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Deep Learning Research Intern
      • Jul 2020 - Sep 2020

      Worked on applying Variational Inference to Continual learning by applying Gaussian Mixture Model on weights obtained by training Bayesian CNN's on a variety of datasets. I worked on extending the main code to be compatible with various datasets and some changes in the code to improve performance. I also conducted experiments to find the optimal hyperparameters for the models. Worked on applying Variational Inference to Continual learning by applying Gaussian Mixture Model on weights obtained by training Bayesian CNN's on a variety of datasets. I worked on extending the main code to be compatible with various datasets and some changes in the code to improve performance. I also conducted experiments to find the optimal hyperparameters for the models.

Education

  • Indian Institute of Technology, Roorkee
    Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
    2019 - 2023

Community

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