Yael Kiselman

Yael Kiselman has a strong background in data analysis and machine learning. They started their career as an English Translator and Intelligence Analyst for Unit 8200 - Israeli Intelligence Corps from 2012 to 2014. Afterwards, they worked as a Data Analyst at KLA from December 2019 to July 2022. During this role, they gained experience in data analysis and likely developed skills in extracting insights from data.

In 2022, Yael transitioned to Meta as a Data Scientist. In this position, they designed and deployed machine learning models to predict user conversion rates and improve business efficiency. They utilized SQL and Python for large-scale data analysis, extracting valuable insights on conversion rates and user behavior.

Currently, Yael works as a Data Scientist at Digital Turbine since January 2023. Their responsibilities include constructing and deploying extensive-scale machine learning models for production. They drive the development and implementation of machine learning algorithms and statistical models to optimize user acquisition, retention, and engagement strategies. They also utilize state-of-the-art analytical techniques to extract valuable insights from complex and sizable data sets, enabling actionable improvements to the models.

Yael Kiselman has a strong educational background, having completed both a Bachelor of Science (BS) degree and a Master of Science (MS) degree. From 2016 to 2020, Yael attended the Technion - Israel Institute of Technology, where they pursued a degree in Industrial Engineering and Management - Information Systems. After this, Yael furthered their education and obtained a Master of Science degree in Data Science & ML from the same institution from 2020 to 2022. This educational experience indicates a well-rounded understanding of both industrial engineering and management as well as data science and machine learning.