Ronen Reouveni

Ronen Reouveni has a diverse work experience in the fields of AI/ML engineering, algorithm development, real estate analytics, and economic research. From 2021 to the present, they have been working at Outbound AI as an AI/ML Engineering Manager and previously as a Machine Learning Engineer. At Random Golf Practice, from 2018 to 2021, they served as an Algorithm Engineer, responsible for designing and implementing core algorithms and maintaining test scripts. Ronen also worked as a Development Analyst (Machine Learning) at Treger Development from 2018 to 2020, developing analytics tools using Python and SQL. In addition, they contributed to economic research at the University of California San Diego as a Research Associate from 2018 to 2019, handling data cleaning, processing, and implementing regression models using R.

Ronen Reouveni completed their education in a chronological manner. Ronen first earned a Bachelor's degree in Econometrics and Quantitative Economics from UC San Diego between 2017 and 2019. After that, they pursued a Master's degree in Applied Data Science at Syracuse University from 2019 to 2021.

In addition to their formal education, Ronen Reouveni also obtained a number of certifications. Ronen completed courses such as "Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)" and "Deep Learning: Convolutional Neural Networks in Python" from Udemy, both in 2021. Furthermore, in 2020, they completed the "Advanced Python," "Python Essential Training," and "SQL Essential Training" courses from LinkedIn.