Koren Gast

Koren Gast has had a diverse range of work experiences spanning various roles and industries.

Starting in 2012, Koren worked as an Inter-university psychometric exam teacher at One on One Test Preparation LTD. This role lasted from June 2012 to April 2013.

In 2015, Koren joined Ben Gurion University of the Negev as a Research and Teaching Assistant and also served as a Research Assistant. This position extended from July 2015 to October 2018, with a brief period as a Research Assistant lasting from July 2015 to August 2016.

As of 2018, Koren worked as a Freelance Data Scientist until March 2019.

From March 2019 to January 2021, Koren held the position of Data Scientist at Playtech.

Koren then transitioned to Augury in February 2021, initially as a Data Scientist. Following this role, Koren became the Data Science Team Lead in March 2022, with no specified end date.

Koren Gast completed a Master of Science (MSc) degree in Industrial Engineering from Ben-Gurion University of the Negev in 2018. Prior to that, from 2014 to 2017, they obtained a Bachelor's degree in Industrial Engineering from the same institution. In terms of additional certifications, Koren obtained various certifications related to machine learning and deep learning from Coursera. These certifications include "AI Capstone Project with Deep Learning," "Building Deep Learning Models with TensorFlow," "Deep Neural Networks with PyTorch," "Introduction to Deep Learning & Neural Networks with Keras," "Scalable Machine Learning on Big Data using Apache Spark," "Art and Science of Machine Learning," "Machine Learning with TensorFlow on Google Cloud Platform Specialization," "How Google does Machine Learning," "Intro to TensorFlow," "Launching into Machine Learning," "Convolutional Neural Networks," "Deep Learning Specialization," "Sequence Models," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Neural Networks and Deep Learning," "Structuring Machine Learning Projects," "Machine Learning Foundations: A Case Study Approach," "Machine Learning Specialization," and "Machine Learning: Clustering & Retrieval."