Shayan Yazdani

Data Scientist / Application Developer at MUUTAA
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Contact Information
us****@****om
(386) 825-5501
Location
Canada, CA

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Credentials

  • Applied Data Science Capstone
    Coursera
    Jan, 2021
    - Nov, 2024
  • Data Visualization with Python
    Coursera
    Jan, 2021
    - Nov, 2024
  • IBM Data Science Specialization
    Coursera
    Jan, 2021
    - Nov, 2024
  • Machine Learning with Python
    Coursera
    Jan, 2021
    - Nov, 2024
  • Data Analysis with Python
    Coursera
    Dec, 2020
    - Nov, 2024
  • Databases and SQL for Data Science
    Coursera
    Dec, 2020
    - Nov, 2024
  • Data Science Methodology
    Coursera
    Nov, 2020
    - Nov, 2024
  • Data Science Orientation
    Coursera
    Nov, 2020
    - Nov, 2024
  • Python for Data Science and AI
    Coursera
    Nov, 2020
    - Nov, 2024
  • Tools for Data Science
    Coursera
    Nov, 2020
    - Nov, 2024

Experience

  • MUUTAA
    • Canada
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist / Application Developer
      • Feb 2022 - Present

      • Researched and developed innovative machine learning forecasting models for a range of healthcare applications: long term financial forecast to short term supply forecasts. • Modified application based on the customer demands. • Worked on all aspects of development of efficient solutions for data acquisition and preprocessing • Develop tools to analyze and monitor model performance and data accuracy. • Researched and developed innovative machine learning forecasting models for a range of healthcare applications: long term financial forecast to short term supply forecasts. • Modified application based on the customer demands. • Worked on all aspects of development of efficient solutions for data acquisition and preprocessing • Develop tools to analyze and monitor model performance and data accuracy.

  • The University of Lethbridge
    • Canada
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Sep 2019 - Oct 2021

      • Investigated possible number of categories of rats’ USVs vocalizations and distance between these categories using machine learning methods. • Developed and implemented a multi-classification model to classify rats’ USVs vocalizations including 7 different categories using Convolutional Neural Network and Support Vector Machine. • Developed and implemented a denoising convolutional autoencoder for USV spectrograms to reduce the background noise to achieve higher classification accuracy. • Applied statistical techniques to find vocalization-behavior correlations. Show less

  • Khazar Steel Co.
    • Rasht, Gilan, Iran
    • Data Analyst & Automation Engineer
      • Oct 2016 - Aug 2019

      • Developed a LSTM neural network model to forecast furnace final temperature during the melting process based on the features such as energy consumption, amount of carbon, gas, oxygen, and metal, in order to reduce the cost and improve the quality. • Analyzed energy pricing to position certain steel grades in the production line so that they are manufactured when power is cheapest • Developed SQL queries to extract data measured from different sensors in the production line • Developed a LSTM neural network model to forecast furnace final temperature during the melting process based on the features such as energy consumption, amount of carbon, gas, oxygen, and metal, in order to reduce the cost and improve the quality. • Analyzed energy pricing to position certain steel grades in the production line so that they are manufactured when power is cheapest • Developed SQL queries to extract data measured from different sensors in the production line

  • Sahand University of Technology
    • Iran
    • Higher Education
    • 1 - 100 Employee
    • Research Assistant
      • Sep 2013 - Sep 2016

      • Developed a new algorithm to separate electromyography (EMG) and electrocardiogram (ECG) signals and created a python GUI for the algorithm. Python code: https://github.com/Shayan-Yazdani/EMG Denoising • Developed a brain image segmentation method based on multilevel thresholding and particle swarm optimization algorithm. • Involved in cDNA microarray image segmentation project using Independent Component Analysis Algorithm and Fuzzy C-means. • Developed a new algorithm to separate electromyography (EMG) and electrocardiogram (ECG) signals and created a python GUI for the algorithm. Python code: https://github.com/Shayan-Yazdani/EMG Denoising • Developed a brain image segmentation method based on multilevel thresholding and particle swarm optimization algorithm. • Involved in cDNA microarray image segmentation project using Independent Component Analysis Algorithm and Fuzzy C-means.

Education

  • The University of Lethbridge
    Master's degree, Neuroscience
    2019 - 2021
  • Sahand University of Technology
    Master's degree, Electrical and Communications Engineering
    2013 - 2015
  • Guilan University
    Bachelor's degree, Electrical and Electronics Engineering
    2007 - 2012

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