Hana' al-Theiabat

Hana' AL-Theiabat's work experience includes positions at several companies. In 2021, they worked as a Data Scientist at Beyond Limits. Prior to that, from 2020 to 2021, they served as a Data Scientist at Baaz, Inc., where they worked on the recommendation system, deployed ML models into production, and analyzed user behavior for business and marketing decisions. In 2019, Hana' worked as a Data Scientist at Baseet.ai. Hana' also worked at Third Space Auto as a Machine Learning Engineer from 2018 to 2019 and as a part-time Machine Learning Engineer from 2018, where they focused on machine learning projects. From 2015 to 2018, Hana' worked as a Web Developer at Philadelphia University. Hana' also has experience in project engineering and computer systems engineering at MARS Robotics, where they worked on unmanned aerial vehicle projects from 2013 to 2015. Additionally, they worked as a Research Assistant at Jordan University of Science and Technology in 2013, focusing on a project related to Android security. In 2012, Hana' worked as a PHP Developer at Oberd - Universal Research Solutions, LLC, contributing to the development of an online communication system for medical hospitals.

Hana' AL-Theiabat completed their education as follows:

- From 2013 to 2015, they pursued a Master's degree in Computer Engineering from Jordan University of Science and Technology.

- Prior to that, they obtained a Bachelor's degree in Computer Engineering from the same university, which they attended from 2008 to 2013.

In addition to their formal education, Hana' AL-Theiabat has acquired several certifications:

- In September 2020, they obtained the DeepLearning.AI TensorFlow Developer certification from deeplearning.ai.

- Also in September 2020, they completed the Natural Language Processing Specialization from deeplearning.ai.

- In August 2020, they obtained certifications in Natural Language Processing with Classification and Vector Spaces, Natural Language Processing with Probabilistic Models, and Natural Language Processing with Sequence Models, all from deeplearning.ai.

- In July 2020, they completed the AWS Machine Learning foundations course from Udacity.

- In November 2019, they finished the Bertelsmann Tech Scholarship Challenge Course on Introduction to Cloud DevOps, also from Udacity.

- In June 2019, they obtained the Secure and Private AI Challenge Scholarship from Udacity.

- In April 2019, they completed the course on Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from Coursera.

- In September 2018, they finished the Deep Learning Specialization from Coursera.

- Also in September 2018, they completed the Sequence Models course from Coursera.

- In August 2018, they finished the Convolutional Neural Networks course from Coursera.

- In July 2018, they completed the Structuring Machine Learning Projects course from Coursera.

- In June 2018, they obtained certifications in Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization and Neural Networks and Deep Learning, both from Coursera.

- In May 2017, they completed the Introduction to Data Science in Python course from Coursera.

- In April 2017, they finished the Machine Learning course from Coursera.

- In September 2015, they received training on Entrepreneurship, Innovation, Competitiveness, and Practical Business Skills Development from Girls in Tech, Inc.

- There is one additional certification mentioned, "Create Your First Web App with Python and Flask," but no specific month or year of completion is provided.