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Lior Polat has diverse work experience in the field of data science and QA. They started their career in 2013 at GlassesOff Inc., where they worked as QA and customer support. In this role, they conducted manual testing, provided customer support to international clients, and worked under strict deadlines.

In 2019, Lior joined Riskified as a Research Analyst. They trained and evaluated classification models for fraud detection, performed feature engineering using SQL and R, and contributed to the data science analytics team. They later transitioned to a Data Scientist role in 2020, where they focused on improving Riskified's core product algorithm's accuracy through various ML techniques such as Hyper-Parameter Tuning and handling imbalanced sets.

Currently, Lior is working as a Data Scientist at Lili since September 2022. No specific details about this role are provided.

Lior Polat obtained a Master of Science (MSc) degree in Neuroscience from Bar-Ilan University, where they studied from 2016 to 2018. Prior to that, they completed their Bachelor of Science (B.Sc.) degree in Neuroscience at the same university from 2013 to 2016.

In addition to their educational background, Lior Polat has obtained several certifications. Lior completed courses in Sequence Models, Convolutional Neural Networks, Bayesian Statistics, Improving Deep Neural Networks, Structuring Machine Learning Projects, Machine Learning, Neural Networks and Deep Learning, Inferential Statistics, Linear Regression and Modeling, and Introduction to Probability and Data, all offered by Coursera. The completion dates for these courses range from January 2018 to February 2020. Lior Polat also completed a course titled "Data Scientist with Python" from DataCamp, although the completion date is not specified.