Yonatan Jenudi is a data scientist who currently works at Predicta Med. Yonatan has also worked as a data analyst using R and as an intern at Wolfson Medical Center.
Jenudi's work experience includes building and optimizing a facial recognition biometric system from scratch. Yonatan also processed and trained images on a CNN model for the facial recognition system. In addition, they created a MongoDB database and linked it to the model.
Jenudi has also worked in the medical domain, analyzing data using R. Yonatan has also lectured on updated journal articles at department meetings.
Yonatan Jenudi has a Bachelor of Science in Computer Science for High-Tech from the Faculty of Engineering at Tel Aviv University. Yonatan also has a Doctor of Medicine - MD from Tel Aviv University. Yonatan is certified by deeplearning.ai in Neural Networks and Deep Learning.
They are on a team with Or Ramni - Data Science Lead, Dan Underberger - CMO, and Benny Getz - Co-Founder & CTO. Yonatan Jenudi reports to Shlomit Steinberg-Koch, Co-Founder & CEO.
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