Ekaterina Ivanova is a Lead Data Scientist at Zalando in Berlin, specializing in machine learning, AI-driven product development, and statistical analysis. With a strong academic background including a PhD in Computational Linguistics from the University of Potsdam, she excels in transforming complex data into actionable insights and innovative solutions. Ekaterina is passionate about leading high-performing data science teams and advancing the application of AI in the e-commerce industry. She is also an advocate for knowledge sharing, contributing to tech blogs and speaking at conferences.
Ekaterina Ivanova's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Manages and mentors a team of data scientists, driving the development and deployment of impactful machine learning models for a leading European e-commerce platform.
Earned a doctorate from the University of Potsdam, with research focusing on natural language processing and machine learning applications.
Shares insights and expertise on data science methodologies, machine learning applications, and team leadership in tech through articles on Zalando's official engineering blog.
Presents on topics related to applied AI, machine learning in e-commerce, and data science leadership at various industry events and conferences, such as the DATAcated Conference.
HEC Paris - Year 2013
The London School of Economics and Political Science (LSE) - Year 2010
Higher School of Economics - Year 2009
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Société Générale S.A. is a major French multinational investment bank and financial services company. Headquartered in Paris, it is one of the oldest and largest banks in France, offering a wide range of services including retail banking, corporate and investment banking, private banking, asset management, and securities services to individuals, businesses, and institutional investors globally. The bank is committed to fostering a sustainable future through responsible finance and innovation.
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