Amal Koodoruth

Teaching Assistant at Digital Nova Scotia
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Contact Information
us****@****om
(386) 825-5501
Location
CA
Languages
  • English Native or bilingual proficiency
  • French Native or bilingual proficiency
  • Creoles and pidgins, French-based Native or bilingual proficiency

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Bio

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Credentials

  • Bayesian Methods for Machine Learning
    Coursera
    Jun, 2020
    - Nov, 2024
  • Software Engineering Virtual Experience
    JPMorgan Chase & Co.
    Jun, 2020
    - Nov, 2024
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Coursera
    Mar, 2020
    - Nov, 2024
  • IBM - Analyzing Data with Python
    edX
    Jun, 2019
    - Nov, 2024
  • Introduction to Data Analysis Using Excel
    Coursera
    Jan, 2018
    - Nov, 2024
  • Learn to Program: The Fundamentals
    Coursera
    Jan, 2018
    - Nov, 2024
  • Big History: Connecting Knowledge
    Coursera
    Jan, 2017
    - Nov, 2024
  • Microsoft Certified: Azure Data Engineer Associate
    Microsoft
    Jan, 2023
    - Nov, 2024

Experience

  • Digital Nova Scotia
    • Canada
    • Non-profit Organizations
    • 1 - 100 Employee
    • Teaching Assistant
      • Jul 2022 - Present

      Teaching Assistant in Data Analytics • Deliver weekly lectures (English and French) and assist students in hands-on tutorials focused on using industry-standard data analytics tools Teaching Assistant in Data Analytics • Deliver weekly lectures (English and French) and assist students in hands-on tutorials focused on using industry-standard data analytics tools

  • Neoxia
    • France
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Full Stack Data Consultant
      • Jan 2023 - Mar 2023

  • University of Toronto
    • Canada
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher
      • May 2022 - Aug 2022

      Analyzing and improving bias fixing algorithms in data science Analyzing and improving bias fixing algorithms in data science

  • Centre universitaire de santé McGill | McGill University Health Centre
    • Canada
    • Hospitals and Health Care
    • 700 & Above Employee
    • Undergraduate Research Assistant
      • Jun 2021 - Aug 2021

      • Developed an image segmentation deep learning model that identifies kidneys and cysts in MRI scans of PKD patients • Model built on Python using PyTorch • Developed an image segmentation deep learning model that identifies kidneys and cysts in MRI scans of PKD patients • Model built on Python using PyTorch

  • Loeys-Dietz Syndrome Foundation Canada
    • Canada
    • Non-profit Organizations
    • 1 - 100 Employee
    • Software Developer Intern
      • Jul 2020 - Sep 2020

      • Built a bot that accesses links to research papers from a database and extracts the text (later fed to ML algorithm for classification) • Coded on Python and used selenium library • Built a bot that accesses links to research papers from a database and extracts the text (later fed to ML algorithm for classification) • Coded on Python and used selenium library

  • Deloitte
    • Business Consulting and Services
    • 700 & Above Employee
    • Consulting Intern
      • May 2019 - Jul 2019

      • Implemented macros in MS Excel, data manipulation, MS Powerpoint • Researched on IFRS 17 and delivered regular presentations on its application in insurance contracts to the partner, managers and executives • Worked closely with actuarial consultants and developed an astute comprehension of yield curves and their construction (using NSS model) • Implemented macros in MS Excel, data manipulation, MS Powerpoint • Researched on IFRS 17 and delivered regular presentations on its application in insurance contracts to the partner, managers and executives • Worked closely with actuarial consultants and developed an astute comprehension of yield curves and their construction (using NSS model)

Education

  • McGill University
    Bachelor of Engineering, Honours Electrical Engineering with Minor in Applied AI
    2018 - 2022
  • Royal College Curepipe
    2011 - 2017

Community

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