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Bio

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Peyman Tehrani is a skilled engineer with expertise in signal processing, simulations, and software defined radio. He has a strong educational background in computer science from UC Irvine and has acquired skills in various programming languages and tools. He is proficient in multiple languages, including Persian and English.

Credentials

  • Modern Reinforcement Learning: Actor-Critic Methods
    Udemy
    Dec, 2020
    - Apr, 2026
  • Sequence Models
    Coursera
    Jun, 2019
    - Apr, 2026
  • Python Pandas - Data Analysis & Visualization
    Udemy
    Dec, 2017
    - Apr, 2026
  • Structuring Machine Learning Projects
    Coursera
    Dec, 2017
    - Apr, 2026
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Nov, 2017
    - Apr, 2026
  • Neural Networks and Deep Learning
    Coursera
    Nov, 2017
    - Apr, 2026
  • Machine Learning
    Coursera
    Jul, 2017
    - Apr, 2026
  • Digital Signal Processing
    Coursera
    Jun, 2017
    - Apr, 2026
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Education

  • 2017-09 - 2023-06
    UC Irvine

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Industry Focus. “Computer Software”

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