Yuri Kaz Kestenberg
About Yuri Kaz Kestenberg
Yuri Kaz Kestenberg is a data scientist based in Tel Aviv, Israel, with a background in mathematics and data science. He has worked at various organizations, including Melio, Pecan, and the Israel Innovation Authority, focusing on optimizing payment processes and developing data-driven solutions.
Work at Melio Payments
Yuri Kaz Kestenberg has been employed at Melio as a Data Scientist since 2021. In this role, he has participated in collaborative projects aimed at optimizing payment processes through data science. He has also engaged in cross-functional teams to integrate machine learning models into business operations. His contributions have focused on developing data-driven solutions that enhance the company's analytical capabilities.
Education and Expertise
Yuri Kestenberg studied Data Science at Israel Tech Challenge, where he achieved the title of Data Science Fellow from 2019 to 2020. He also holds a Bachelor’s Degree in Computational and Applied Mathematics from Universidade Federal do Rio de Janeiro, completed from 2012 to 2015. Additionally, he participated in a Study Abroad Programme at the University of Bristol, where he studied Mathematics from 2013 to 2014.
Background
Yuri Kestenberg has a diverse professional background in data science. Prior to his current role at Melio, he worked as a Data Scientist at Pecan from 2019 to 2021 and at Proonto for a brief period in 2019. He also gained experience as a Summer Research Intern at the University of Bristol in 2014. His earlier roles include fellowships at the Israel Innovation Authority and the Ministry of Foreign Affairs of Israel.
Achievements
During his career, Yuri Kestenberg has made significant contributions to various organizations. At Melio, he has been involved in projects that optimize payment processes and enhance analytical capabilities through data-driven solutions. His experience spans multiple roles in data science, showcasing his ability to work effectively in cross-functional teams and contribute to machine learning integration.