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Keren Koshman

Head Of Product at Darrow

Keren Koshman has a diverse work experience spanning multiple industries and roles. In 2022, they joined Darrow as the Director of Product Management, following their position as a Senior Product Manager at the same company. Prior to that, Koshman worked as a Computer Science Teacher at the Davidson Institute of Science Education in 2021. From 2020 to 2022, they held the position of Director of Product Management at Dynamic Yield. Before that, they served as a Senior Technical Product Manager from 2020 to 2021. In 2019, Koshman co-founded Shift - It's about time and worked as the CTO, where they were responsible for product strategy, roadmap, and delivery plan execution. Keren also managed a team of offshore developers, UX, and UI. From 2016 to 2019, Koshman worked at NGSoft Ltd. as the VP R&D, leading a team of software, QA, IT, technical managers, and system engineering. During their tenure, they implemented scrum methodology and successfully executed large-scale projects. Koshman began their career at the Israel Defense Forces, serving as a Product Manager from 2014 to 2016 and as a Business Analyst from 2009 to 2013. Keren also worked as an Undergraduate Teaching Assistant at Technion - Israel Institute of Technology from 2008 to 2009.

Keren Koshman completed their Engineer's degree in Industrial Engineering from Technion - Israel Institute of Technology between 2005 and 2009. In 2021 to 2022, they were enrolled in the Leadership program at the Hoffman Kofman Foundation. Additionally, Keren has obtained various certifications including "Artificial Intelligence Case Studies in Different Business Industries" from LinkedIn in June 2023, "Programming for Data Science with Python" from Udacity in April 2021, "Introduction to Data Science in Python" from the University of Michigan in May 2018, "A Crash Course in Data Science" from Johns Hopkins University in April 2018, "Deep learning" from Udacity in April 2018, "Machine Learning" from Coursera in March 2018, and "DS102X: Machine Learning for Data Science and Analytics" in April 2017.

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