Shira Eisen

Data Scientist at GoBolt
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Contact Information
us****@****om
(386) 825-5501
Location
Toronto, Ontario, Canada, CA

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Bio

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Experience

    • Canada
    • Transportation, Logistics, Supply Chain and Storage
    • 200 - 300 Employee
    • Data Scientist
      • Dec 2022 - Present

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Data Scientist I
      • Apr 2022 - Oct 2022

      Implemented machine learning and data analytics techniques in a time series survival analysis of wounds’ healing trajectories, and statistically validated model performance metrics for use in a peer-reviewed journal article Built an interactive dashboard using SQL and Sigma for guiding clinical wound interventions based on a machine learning prognostics model Deployed machine learning models and automated data quality assurance metric pipelines to production using Argo Cron Workflows Show less

    • Canada
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Data and Machine Learning Scientist Intern
      • May 2021 - Dec 2021

      Built, optimized, and evaluated machine learning models for liver disease detection from quantitative ultrasound (QUS) radio-frequency data Applied signal processing techniques to optimize ultrasound data for statistical analyses and exploration Built, optimized, and evaluated machine learning models for liver disease detection from quantitative ultrasound (QUS) radio-frequency data Applied signal processing techniques to optimize ultrasound data for statistical analyses and exploration

    • United States
    • Software Development
    • 1 - 100 Employee
    • Digital Health Tech Developer
      • May 2019 - Dec 2019

      Developed computer vision software for the mobile application-based detection of neurodegeneration Curated a diverse dataset as neural network training input for pupillary image segmentation and analysis Worked with the Business VP to prepare Go-To-Market strategies, product usability surveys, and FTO analyses Developed computer vision software for the mobile application-based detection of neurodegeneration Curated a diverse dataset as neural network training input for pupillary image segmentation and analysis Worked with the Business VP to prepare Go-To-Market strategies, product usability surveys, and FTO analyses

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Clinical Data Analyst
      • May 2018 - Apr 2019

      Curated a dataset of high-quality cases as neural network training input for wound image segmentation analysis Worked with the Product Team to develop effective testing cases to ensure application quality and algorithm efficiency Developed advanced vision and machine learning algorithms through the creation of data manipulation tools Received the NSERC Student Experience Award for contribution to the R&D team Curated a dataset of high-quality cases as neural network training input for wound image segmentation analysis Worked with the Product Team to develop effective testing cases to ensure application quality and algorithm efficiency Developed advanced vision and machine learning algorithms through the creation of data manipulation tools Received the NSERC Student Experience Award for contribution to the R&D team

    • Israel
    • Higher Education
    • 700 & Above Employee
    • Nano-engineering Research Assistant
      • Jun 2017 - Aug 2017

Education

  • University of Toronto
    Master's Degree, Biotechnology, Digital Health Technologies Stream
    2020 - 2022
  • Queen's University
    Bachelor of Computing Honours, Biomedical Computing
    2015 - 2020
  • Tanenbaum Community Hebrew Academy of Toronto
    2011 - 2015

Community

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