Amartya Bhattacharya

Visiting Researcher at Osaka University
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Contact Information
us****@****om
(386) 825-5501
Location
Osaka, Japan, JP

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Credentials

  • Business Analyst
    Aspiring Minds
    Apr, 2021
    - Oct, 2024
  • Business Consultant
    Aspiring Minds
    Apr, 2021
    - Oct, 2024
  • Data Processing Specialist
    Aspiring Minds
    Apr, 2021
    - Oct, 2024
  • Proficiency in English
    Aspiring Minds
    Apr, 2021
    - Oct, 2024
  • Software Development Trainee
    Aspiring Minds
    Apr, 2021
    - Oct, 2024
  • in English Comprehension
    Aspiring Minds
    Apr, 2021
    - Oct, 2024
  • Problem Solving (Intermediate)
    HackerRank
    Jul, 2020
    - Oct, 2024
  • Python(Basic)
    HackerRank
    Jul, 2020
    - Oct, 2024
  • Golden Award Silver 2020
    Codility
    Oct, 2020
    - Oct, 2024

Experience

    • Japan
    • Higher Education
    • 500 - 600 Employee
    • Visiting Researcher
      • Aug 2022 - Present

      Built a Gaze Object Detection Model having 88% AUCReplicated the works done by Recansens paper - The first paper in the domain of Gaze Following Built a Gaze Object Detection Model having 88% AUCReplicated the works done by Recansens paper - The first paper in the domain of Gaze Following

    • United States
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Associate Data Scientist
      • Jun 2022 - Jul 2022

      Built a model that improved the AUC score by 4% for segmentation and classification of Aortic Calcification in Chest X-Ray images.Research Paper: https://arxiv.org/pdf/2204.10505.pdf Built a model that improved the AUC score by 4% for segmentation and classification of Aortic Calcification in Chest X-Ray images.Research Paper: https://arxiv.org/pdf/2204.10505.pdf

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Research Assistant
      • Dec 2021 - Jun 2022

      Worked in Banerjee Lab under supervision of Dr. Imon Banerjee on Medical Imaging dataResearch Paper accepted at Physiological Measurements Journal https://doi.org/10.1088/1361-6579/ac9e8a Worked in Banerjee Lab under supervision of Dr. Imon Banerjee on Medical Imaging dataResearch Paper accepted at Physiological Measurements Journal https://doi.org/10.1088/1361-6579/ac9e8a

    • United States
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Machine Learning Intern
      • Aug 2021 - Feb 2022

      Built a Federated Learning model for the simulation for classification of diseases from Chest X Ray images Built a Federated Learning model for the simulation for classification of diseases from Chest X Ray images

    • India
    • Defense and Space Manufacturing
    • 700 & Above Employee
    • Undergraduate ML Research Intern
      • Aug 2021 - Dec 2021

      Researching under Dr.Bipasha Paul Shukla on prediction of seedable clouds from RADAR parameters using Machine Learning Researching under Dr.Bipasha Paul Shukla on prediction of seedable clouds from RADAR parameters using Machine Learning

    • India
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Machine Learning Intern
      • Jun 2021 - Jul 2021

      Built an Auto ML package for Completing the Task of solving Classification Problem of Tabular Data Built an Auto ML package for Completing the Task of solving Classification Problem of Tabular Data

    • India
    • Higher Education
    • 1 - 100 Employee
    • Deep Learning Research Intern
      • May 2021 - Jul 2021

      Devised a Novel Method based on Deep Learning for Rice Leaf Disease Classification Devised a Novel Method based on Deep Learning for Rice Leaf Disease Classification

    • Undergraduate Research Assistant
      • Feb 2021 - Jul 2021

      Working under the guidance of Dr.Amlan Chakrabarty and Dr. Amit Kumar Das Built a novel Neural Network based classifier for detection of cells from slide images.Built a novel Instance Segmentation model in order to identify dysplastic cells and determination of the presence of Myelodysplastic Syndrome from bone marrow slides Working under the guidance of Dr.Amlan Chakrabarty and Dr. Amit Kumar Das Built a novel Neural Network based classifier for detection of cells from slide images.Built a novel Instance Segmentation model in order to identify dysplastic cells and determination of the presence of Myelodysplastic Syndrome from bone marrow slides

    • United States
    • Software Development
    • 400 - 500 Employee
    • Junior ML Engineer
      • Mar 2021 - Apr 2021

      Will be Working on project of Computer Vision Will be Working on project of Computer Vision

    • Undergraduate Researcher
      • Jan 2021 - Mar 2021

      Worked under Dr.Santanu Roy ,on Segmentation of Exudates ,Blood Vessels and Optical Disk using Image Processing techniques .Implemented algorithms like Fuzzy-C-Means , Watershed Algorithm , Alternate Sequential filtering and many other research Papers. Presently Working on a paper on Adaptive Histogram Equalisation . Worked under Dr.Santanu Roy ,on Segmentation of Exudates ,Blood Vessels and Optical Disk using Image Processing techniques .Implemented algorithms like Fuzzy-C-Means , Watershed Algorithm , Alternate Sequential filtering and many other research Papers. Presently Working on a paper on Adaptive Histogram Equalisation .

    • India
    • Information Technology & Services
    • 1 - 100 Employee
    • AI Research Intern
      • Jan 2020 - Apr 2020

      Worked upon augmenting various images in order to create a dataset of images in order to train and test a ML model to recognise defects in material.Worked upon Neural network algorithms in order to recognise types of defects in materials which will help in the Injection Moulding industry Worked upon augmenting various images in order to create a dataset of images in order to train and test a ML model to recognise defects in material.Worked upon Neural network algorithms in order to recognise types of defects in materials which will help in the Injection Moulding industry

Education

  • University of Calcutta
    Bachelor of Technology - BTech, Computer Engineering
    2018 - 2022
  • South Point High School, Kolkata
    AISSCE, Science
    2004 - 2017

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