Mo Rebaie

Lead Learning Developer at Workera

Mo Rebaie is the Lead Learning Developer at Workera.ai. Mo has also worked as a machine learning researcher at Developing Algorithms and as the Chief Executive Officer of Mathematics Talent Center. Mo has a background in mathematics and statistical analysis, and they use this experience to help people learn practical mathematical algorithms.

Mo Rebaie holds a Bachelor of Science in Mathematics and Computer Science from the Lebanese American University as well as a Bachelor's degree in Management Information Systems, General, from the C & E American University Institute. In addition, Mo Rebaie holds certifications from deeplearning.ai in both Device-based Models with TensorFlow Lite and Browser-based Models with TensorFlow.js. Coursera has awarded Mo Rebaie certification in Applied Data Science Capstone, Data Science Professional Certificate, and Data Analysis with Python. IBM has awarded Mo Rebaie certification in IBM Data Science Specialization, Machine Learning with Python, and Python for Data Science and AI. Finally, the Data Science Foundations Specialist certification was awarded to Mo Rebaie by coursera.

Some individuals on their team include Asif Iqbal - Assessment Developer, Mirna saad - Assessment Developer, and Rohit Lekhrajani - Assesment Developer. Some of their coworkers include Amy Sullivan - Assessment Program Manager, Scott Frohn - Senior Psychometrician. Mo Rebaie reports to Lauren Deters, Head of Learning & Assessment.

Location

Palo Alto, United States

Links

Timeline

  • Lead Learning Developer

    November, 2022 - present

  • Lead Assessment Developer

    July, 2021

  • Assessment Developer

    September, 2020

  • Test Developer

    February, 2020

  • Learning and Assessment

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