Amartya Mandal

Machine Learning Engineer at Joulea
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Contact Information
us****@****om
(386) 825-5501
Location
Atlanta, Georgia, United States, GE
Languages
  • English Full professional proficiency
  • Hindi -
  • Japanese Elementary proficiency
  • Marathi Limited working proficiency
  • Bengali Native or bilingual proficiency

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Kuldeep Singh Chauhan

Amartya joined Synapsica as one of the early researchers in the computer vision team and was instrumental in research, development and delivery of multiple projects he worked on. Amartya never shied away from any task required to deliver a project and showed immense sense of ownership to all the projects he led and contributed to. His never say die attitude combined with his eagerness to learn and help others made him a great team player. He is also adept at picking up newer skill sets as and when necessary. Amartya was responsible for the timely completion of a number of critical deliverables during his 2 years at Synapsica. Amartya liked to dig deep and do thorough analysis to come up with innovative solutions. Moreover, he was a very amicable person to work with. I wish him all the best for the future!

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Credentials

  • RCR Basic Course (with Animal Research Module)
    CITI Program
    Jan, 2022
    - Nov, 2024
  • Working with Fish in Research Settings
    CITI Program
    Jan, 2022
    - Nov, 2024
  • Mathematics for Machine Learning: Linear Algebra
    Coursera
    Aug, 2020
    - Nov, 2024
  • Mathematics for Machine Learning: Multivariate Calculus
    Coursera
    Aug, 2020
    - Nov, 2024
  • Investigators, Staff and Students
    CITI Program
    Dec, 2021
    - Nov, 2024

Experience

    • United States
    • Real Estate
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Feb 2023 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Aug 2021 - Dec 2022

      Explored animal (fish) behavior estimation by developing flexible computer vision and deep learning frameworks for the processing and quantification of real-time video and depth datasets Explored animal (fish) behavior estimation by developing flexible computer vision and deep learning frameworks for the processing and quantification of real-time video and depth datasets

    • United Kingdom
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Data Science and AI Intern
      • May 2022 - Aug 2022

    • India
    • Hospitals and Health Care
    • 1 - 100 Employee
    • AI Scientist
      • Jun 2019 - Jul 2021

    • India
    • Business Consulting and Services
    • 500 - 600 Employee
    • Full Stack Developer - Machine Learning
      • Apr 2018 - May 2019

    • Japan
    • Research Services
    • 700 & Above Employee
    • Research Internship
      • Sep 2017 - Mar 2018

      - Awarded the JICA Innovative Asia scholarship to carry out research in Japanese universities. - Constructed a protein-protein interaction network and identified harmful nodes from this network using Controllability Analysis (Barabasi Lab) and Hopcroft Karp Algorithm for Maximal Matching. - Implemented Perl and R scripts for alternative processing of RNA-seq clinical data. - Coursework: Automata Theory, Linear algebra, Probability and Statistics, Network Science - Awarded the JICA Innovative Asia scholarship to carry out research in Japanese universities. - Constructed a protein-protein interaction network and identified harmful nodes from this network using Controllability Analysis (Barabasi Lab) and Hopcroft Karp Algorithm for Maximal Matching. - Implemented Perl and R scripts for alternative processing of RNA-seq clinical data. - Coursework: Automata Theory, Linear algebra, Probability and Statistics, Network Science

Education

  • Georgia Institute of Technology
    Master of Science - MS, Bioinformatics
    2021 - 2022
  • Indian Institute of Technology, Guwahati
    Bachelor's Degree, Biotechnology , BioSciences and BioEngineering
    2013 - 2017
  • Smt. Sulochanadevi Singhania School
    High School, Computer Science
    2010 - 2012

Community

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