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Bio

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Jianan Shen is a seasoned data scientist with a strong educational background in Materials Engineering and a proven track record of working with data collection and analysis, as well as expertise in programming languages like Python. He has experience in product quality control, teaching, and research.

Credentials

  • EBEC: Entry-Level Programming in Python
    Purdue University
    Jun, 2023
    - Apr, 2026
  • Deep Learning Specialization
    Coursera
    Dec, 2022
    - Apr, 2026
  • Sequence Models
    Coursera
    Dec, 2022
    - Apr, 2026
  • Convolutional Neural Networks
    Coursera
    Nov, 2022
    - Apr, 2026
  • Neural Networks and Deep Learning
    Coursera
    Nov, 2022
    - Apr, 2026
  • Structuring Machine Learning Projects
    Coursera
    Nov, 2022
    - Apr, 2026
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Nov, 2022
    - Apr, 2026
  • Advanced Learning Algorithms
    Coursera
    Oct, 2022
    - Apr, 2026
  • Machine Learning Specialization
    Coursera
    Oct, 2022
    - Apr, 2026
  • Unsupervised Learning, Recommenders, Reinforcement Learning
    Coursera
    Oct, 2022
    - Apr, 2026
  • Supervised Machine Learning: Regression and Classification
    Coursera
    Aug, 2022
    - Apr, 2026

Experience

Education

  • 2020 - 2024
    Purdue University
    Doctor of Philosophy - PhD, Materials Engineering
  • 2018 - 2020
    Northwestern University
    Master's degree, Materials Science
  • 2013 - 2017
    Nanjing University of Aeronautics and Astronautics
    Bachelor's degree, Materials Engineering

Suggested Services

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Industry Focus. “Computer Software”

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