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David Karapetyan

Full-Stack Engineering Lead at Zalando SE (Machine Learning, Backend, BI/Frontend) at Zalando SE

David Karapetyan is a highly skilled professional with expertise in Keras and PyTorch based Neural Networks, classical statistics, machine learning, backend infrastructure, recommendation engines, time series forecasting, and descriptive analytics.

Having pursued a Ph.D. in Mathematics from the University of Notre Dame and holding BA and BS degrees in English Literature and Mathematics from the University of California, Berkeley, David's educational background underscores his multifaceted capabilities.

Throughout his career, David has held significant roles such as Full-Stack Engineering Lead, Data Science Lead, Data Scientist, and Head Data Scientist at prestigious organizations like Zalando SE, BigR.io, MUFG, and Rudin Management.

His experience spans across various domains including machine learning, planning, pricing, forecasting, and quantitative advisory services, showcasing his adaptability and proficiency in diverse areas.

David has also contributed his expertise as a Visiting Assistant Professor at the University of Rochester and as a Research Associate at the Institute for Defense Analyses, highlighting his academic and research-oriented pursuits.

His technical skills include working with CNN, LSTM, MLP, Autoencoders, backend infrastructure utilizing AWS-based services, Databricks, and Airflow, as well as leveraging MSTR dashboards powered by SQL databases for descriptive analytics.

Additionally, his proficiency in Partial Differential Equations adds a unique dimension to his skill set, demonstrating a comprehensive understanding of advanced mathematical concepts and their practical applications.

David Karapetyan
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Location

Berlin, Berlin, Germany