Sahand Somi

Machine Learning Developer at Alberta Machine Intelligence Institute (Amii)
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Contact Information
us****@****om
(386) 825-5501
Location
Edmonton, CA
Languages
  • English Professional working proficiency
  • French Elementary proficiency
  • Turkish Full professional proficiency
  • Persian Native or bilingual proficiency

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Sheikh Abdullah Al Jubair, Ph.D.

Sahand was part of the Advanced Tech Team at Alberta Machine Intelligence Institute. I have the opportunity to be the lead of Sahand's project. He is one of our team's best scientists and continuously exceeds expectations. He is a critical thinker and actively participated in designing machine learning models. His main strength is that he tries to bring new ideas with scientific validity and is never afraid to share his opinion. I wish him the best in his future endeavour.

Sharyar M.

Sahand worked on a complex time series use case that required him to not only understand how control systems worked but also learn about multivariate time series analysis. He went out of his way to learn about both disciplines and worked hard to ensure that the project was successful. He coordinated with a team of 3 members and ensured that deadlines were met. He also asked for feedback to ensure that his coding standards were up to par and worked hard to integrate that feedback into his work.

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Credentials

  • The Ultimate Docker Course
    Code With Mosh
    Jul, 2023
    - Nov, 2024
  • A-Z Machine Learning using Azure Machine Learning
    Udemy
    Feb, 2023
    - Nov, 2024
  • Machine Learning Technician Certification 1
    Alberta Machine Intelligence Institute (Amii)
    Apr, 2022
    - Nov, 2024
  • Machine Learning on AWS (Technical)
    Amazon Web Services (AWS)
    Apr, 2022
    - Nov, 2024
  • Python & Machine Learning for Financial Analysis
    Udemy
    Apr, 2022
    - Nov, 2024
  • Deep Learning: Recurrent Neural Networks in Python
    Udemy
    Mar, 2022
    - Nov, 2024
  • Time Series Analysis in Python
    Udemy
    Mar, 2022
    - Nov, 2024
  • Machine Learning Foundations 1
    Alberta Machine Intelligence Institute (Amii)
    Feb, 2022
    - Nov, 2024
  • Machine Learning Foundations 2
    Alberta Machine Intelligence Institute (Amii)
    Feb, 2022
    - Nov, 2024
  • Engineer In Training (E.I.T.)
    The Association of Professional Engineers and Geoscientists of Alberta (APEGA)
    Nov, 2021
    - Nov, 2024
  • Introduction to Machine Learning in Production
    Coursera
    Nov, 2021
    - Nov, 2024
  • Introduction to Computer Science and Programming Using Python
    MITx on edX
    Oct, 2021
    - Nov, 2024
  • A Complete Reinforcement Learning System (Capstone)
    Coursera
    May, 2020
    - Nov, 2024
  • Prediction and Control with Function Approximation
    Coursera
    May, 2020
    - Nov, 2024
  • Reinforcement Learning Specialization (University of Alberta)
    Coursera
    May, 2020
    - Nov, 2024
  • Sample-based Learning Methods
    Coursera
    Apr, 2020
    - Nov, 2024
  • Fundamentals of Reinforcement Learning
    Coursera
    Nov, 2019
    - Nov, 2024
  • Construction Safety Training System (CSTS-09)
    Alberta Construction Safety Association
    Mar, 2019
    - Nov, 2024
  • WHMIS 2015 Worker Education (Generic) (CSTS 2020)
    Alberta Construction Safety Association
    Feb, 2019
    - Nov, 2024
  • Certified Professional Autodesk Revit Architecture 2013
    Amirkabir University of Technology - Tehran Polytechnic
    Dec, 2017
    - Nov, 2024
  • Diploma in Project Management
    Alison Company
    Jun, 2016
    - Nov, 2024
  • Managing Project with Microsoft Project
    Microsoft
    Jun, 2016
    - Nov, 2024
  • Microsoft Certified: Azure Fundamentals
    Microsoft
    Mar, 2023
    - Nov, 2024
  • Machine Learning Internship
    Alberta Machine Intelligence Institute (Amii)
    Jun, 2022
    - Nov, 2024

Experience

    • Canada
    • Research Services
    • 1 - 100 Employee
    • Machine Learning Developer
      • Jun 2022 - Present

      2023 ● Using DeepAR for predicting many-to-many in supply chain management. ● Developing ML models for forecasting sales of 800 products in a warehouse presents a dynamic and complex challenge. 2022 ● Developing new attention mechanism for spatial-temporal relationships in multivariant time series ● Converted time series classification problem to image classification and improved performance by 20 %. ● Demoed results and findings to various internal and external business… Show more 2023 ● Using DeepAR for predicting many-to-many in supply chain management. ● Developing ML models for forecasting sales of 800 products in a warehouse presents a dynamic and complex challenge. 2022 ● Developing new attention mechanism for spatial-temporal relationships in multivariant time series ● Converted time series classification problem to image classification and improved performance by 20 %. ● Demoed results and findings to various internal and external business stakeholders. ● Working closely with the DevOps team to understand challenges in deploying ML model in production. Show less 2023 ● Using DeepAR for predicting many-to-many in supply chain management. ● Developing ML models for forecasting sales of 800 products in a warehouse presents a dynamic and complex challenge. 2022 ● Developing new attention mechanism for spatial-temporal relationships in multivariant time series ● Converted time series classification problem to image classification and improved performance by 20 %. ● Demoed results and findings to various internal and external business… Show more 2023 ● Using DeepAR for predicting many-to-many in supply chain management. ● Developing ML models for forecasting sales of 800 products in a warehouse presents a dynamic and complex challenge. 2022 ● Developing new attention mechanism for spatial-temporal relationships in multivariant time series ● Converted time series classification problem to image classification and improved performance by 20 %. ● Demoed results and findings to various internal and external business stakeholders. ● Working closely with the DevOps team to understand challenges in deploying ML model in production. Show less

    • Canada
    • Wellness and Fitness Services
    • 1 - 100 Employee
    • Co-Founder
      • Dec 2021 - Dec 2022

      ● Successfully led a team of 10 students to develop and launch a social app, overseeing both front-end and back-end development. ● Developed and deployed machine learning models to extract insights from over 200 survey responses, utilizing text analysis techniques. ● Implemented pre-trained models for sentiment analysis and customer segmentation, utilizing feedback from more than 100 customers to inform the development. ● Successfully led a team of 10 students to develop and launch a social app, overseeing both front-end and back-end development. ● Developed and deployed machine learning models to extract insights from over 200 survey responses, utilizing text analysis techniques. ● Implemented pre-trained models for sentiment analysis and customer segmentation, utilizing feedback from more than 100 customers to inform the development.

    • Canada
    • Software Development
    • 100 - 200 Employee
    • Associate Machine Learning Developer
      • Jan 2022 - Apr 2022

      ● Conducted extensive Exploratory Data Analysis for production prediction. ● Built end-to-end ML pipelines including data acquisition, data processing, feature engineering, and model deployment for sequential problems in production. ● Optimized industrial process by using prediction model and Reinforcement learning to increase efficiency by 10%. ● Communicated consistently with stakeholders and SMEs to update them on the current status of the projects and gather feedback to… Show more ● Conducted extensive Exploratory Data Analysis for production prediction. ● Built end-to-end ML pipelines including data acquisition, data processing, feature engineering, and model deployment for sequential problems in production. ● Optimized industrial process by using prediction model and Reinforcement learning to increase efficiency by 10%. ● Communicated consistently with stakeholders and SMEs to update them on the current status of the projects and gather feedback to improve them further. ● Demoed results and findings to various internal and external business stakeholders. Show less ● Conducted extensive Exploratory Data Analysis for production prediction. ● Built end-to-end ML pipelines including data acquisition, data processing, feature engineering, and model deployment for sequential problems in production. ● Optimized industrial process by using prediction model and Reinforcement learning to increase efficiency by 10%. ● Communicated consistently with stakeholders and SMEs to update them on the current status of the projects and gather feedback to… Show more ● Conducted extensive Exploratory Data Analysis for production prediction. ● Built end-to-end ML pipelines including data acquisition, data processing, feature engineering, and model deployment for sequential problems in production. ● Optimized industrial process by using prediction model and Reinforcement learning to increase efficiency by 10%. ● Communicated consistently with stakeholders and SMEs to update them on the current status of the projects and gather feedback to improve them further. ● Demoed results and findings to various internal and external business stakeholders. Show less

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jun 2019 - Dec 2021

      Reinforcement Learning Developer Reinforcement Learning Developer

Education

  • University of Alberta
    Master of Science - MSc, Construction Engineering and Management
    2018 - 2020
  • University of Tabriz
    Bachelor of Science - BSc, Civil Engineering
    2013 - 2017

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