Eran Ben Artzy

Eran Ben Artzy has a solid background in natural language processing (NLP) and computational linguistics. Eran began their career as an Artificial Intelligence Intern at Mind-Alliance, where they gained experience in fine-tuning NLP models and working with state-of-the-art technologies such as GPT-3 and GPT-2. Eran then transitioned to the role of NLP Data Scientist at Mind-Alliance, where they continued to refine their skills in NLP and worked on tasks such as intent classification, Q&A, and entity recognition.

Eran then moved on to work as an NLP Engineer at Loris, a natural language AI platform. In this role, they were responsible for establishing an in-house named entity recognition (NER) pipeline to ensure privacy protection in customer conversations.

Currently, Eran is working as an Algorithm Developer at the Weizmann Institute of Science in Prof. David Harel's Laboratory. Eran is conducting research and building speech recognition, NLP, and computational linguistics models specifically focusing on prosody aspects of speech.

Throughout their career, Eran has consistently demonstrated their expertise and passion for NLP and computational linguistics, and they continue to contribute to the field through their research and practical applications in various roles.

Eran Ben Artzy has a diverse education history. In 2015 to 2016, Eran attended the Technion - Israel Institute of Technology, where they pursued a degree in "Technion 'Mechina'." During this time, their field of study focused on Mathematics & Physics. In 2019, Eran enrolled in The Open University of Israel, where they pursued a Bachelor of Science degree in Computer Science. The end year for this program is not specified.

In 2021 to 2022, Eran attended Primrose, a machine and deep learning school, for an unspecified field of study. Eran's most recent educational pursuit is a Bachelor of Science degree in Statistics and Data Science at Bar-Ilan University. Eran began this program in 2022 and is expected to graduate in 2024.

In addition to their formal education, Eran has obtained multiple certifications in various areas of Natural Language Processing (NLP) and deep learning. These certifications include topics such as Natural Language Processing Specialization, Deep Learning for NLP (Parts 1, 2, and 3), Natural Language Processing with Attention Models, Natural Language Processing with Sequence Models, Natural Language Processing with Probabilistic Models, and Advanced NLP with spaCy. Eran also completed courses on artificial intelligence, machine learning, deep learning, hyperparameter tuning, regularization, optimization, and TensorFlow.

Eran Ben Artzy has demonstrated a strong commitment to gaining expertise in the fields of NLP, data science, and deep learning through both formal education and additional certifications.