Ricky Cheng

AI Engineer at SOCIF
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Contact Information
us****@****om
(386) 825-5501
Location
HK

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Credentials

  • Data Scientist with Python Track
    DataCamp
    Mar, 2020
    - Sep, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Aug, 2019
    - Sep, 2024
  • Neural Networks and Deep Learning
    Coursera
    Aug, 2019
    - Sep, 2024

Experience

  • SOCIF
    • Hong Kong
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • AI Engineer
      • Jun 2021 - Present

      • Working on high-performance deep learning applications • Working on high-performance deep learning applications

  • OOCL
    • Hong Kong
    • Maritime Transportation
    • 700 & Above Employee
    • Cloud Computing Intern
      • Jun 2020 - Aug 2020

      • Implemented machine learning algorithm (neural network, random forest) to analyze virtual machine utilization • Predicted cloud wastage with 93% accuracy and give suggestions to reallocate • Implemented machine learning algorithm (neural network, random forest) to analyze virtual machine utilization • Predicted cloud wastage with 93% accuracy and give suggestions to reallocate

  • Earth.Org
    • Hong Kong
    • Think Tanks
    • 1 - 100 Employee
    • Data Science Intern
      • Feb 2020 - May 2020

      • Performed data cleaning and simple linear regression on various environmental dataset (Python, pandas, Scikit-Learn) • Visualized dataset for reporting (Tableau, Plotly, Google Earth) • Performed data cleaning and simple linear regression on various environmental dataset (Python, pandas, Scikit-Learn) • Visualized dataset for reporting (Tableau, Plotly, Google Earth)

  • HKUST Math Department
    • Student Researcher
      • Jun 2019 - Aug 2019

      • Built machine learning pipeline to predict the PM2.5 level of the next 1, 6 and 24 hours (pandas, Keras, Tensor-flow) • Performed feature engineering to investigate the impact of different factors on the PM2.5 level in Hong Kong • Built machine learning pipeline to predict the PM2.5 level of the next 1, 6 and 24 hours (pandas, Keras, Tensor-flow) • Performed feature engineering to investigate the impact of different factors on the PM2.5 level in Hong Kong

Education

  • The Hong Kong University of Science and Technology
    Bachelor of Science - BS, Data Science and Technology
    2017 - 2021
  • University of Sussex
    Informatics
    2019 - 2019

Community

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