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Roman Rudenskyi
Roman Rudenskyi
as a data scientist and academic with a robust background in economic cybernetics and mathematical modeling. He earned my Specialist Diploma in Economic Cybernetics from Donetsk State University in 1999, followed by a PhD in Economics and Mathematical Modeling in 2003, and a Doctor of Economic Science degree in 2010, both from Donetsk National University. His professional journey encompasses significant roles in both academia and industry. From 2003 to 2015, he served at Donetsk National University, advancing from Associate Professor to Professor in the Economic Cybernetics Department. Once transitioned to the private sector in 2015,he held senior data scientist positions at several companies in Kyiv, Ukraine. At IntroPro (2015–2016), Video Intelligence AG (2016–2018), he focused on machine learning algorithms for bidding price predictions in real-time bidding systems and market segmentation. At Ciklum (2018–2019) involved applying machine learning methods to solve business problems for a venture investment company, including developing predictive models for fundraising likelihood and investment success. Since December 2019, as a Senior Data Scientist at Intellias, he has led projects in machine learning, computer vision, and large language models.
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