Yasmeen Hany

Data Scientist at RelationalAI

Yasmeen Hany began their work experience in 2017 as an intern at Benchmark Labs. Yasmeen worked in this role until March 2019. In June 2019, they served as a Junior Teaching Assistant for Koding 4 Kinder at The German University in Cairo. From July to October 2019, they worked as an Android Development Intern at Robusta Studio. In 2020, they were a Data Science Engineer at Nodogoro from August to October. Currently, they serve as a Data Scientist at RelationalAI starting from October 2021.

Yasmeen Hany completed their education at the following institutions:

- From 2015 to 2020, they attended The German University in Cairo, majoring in Media Engineering and Technology with a focus on Computer Science.

- From 2023 to 2026, they pursued a Master of Science degree in Computer Science at the Georgia Institute of Technology.

In addition to their formal education, Yasmeen Hany obtained several certifications:

- In August 2020, they received the certification for "Structuring Machine Learning Projects" from Coursera.

- Also in August 2020, they completed the certification for "Neural Networks and Deep Learning" from Coursera.

- Continuing in August 2020, Yasmeen obtained the certification for "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera.

- In September 2020, they received the certification for "Deep Learning Specialization" from Coursera.

- Additionally in September 2020, Yasmeen completed the certification for "Sequence Models" from Coursera.

- In October 2020, they received multiple certifications from Coursera, including "Natural Language Processing Specialization," "Natural Language Processing with Attention Models," "Natural Language Processing with Probabilistic Models," and "Natural Language Processing with Sequence Models."

- Finally, in April 2021, Yasmeen obtained the certification for "Grokking the Machine Learning Interview" from Educative, Inc.

These certifications demonstrate their dedication to ongoing learning and acquiring specialized knowledge in the field of computer science and machine learning.

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