Die Konferenz für Data Scientists,
Data Engineers und Data Teams
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Die Konferenz für Data Scientists,
Data Engineers und Data Teams
A general understanding of data science, machine learning, and data-driven solutions in the context of retail would enable attendees to fully comprehend the content.
In this presentation, we delve into the journey of developing and implementing our data-driven size recommender. From the initial data analysis and labeling to the application of machine learning techniques for prediction, we outline a comprehensive process to improve the online shopping experience.
Jie Bai is a Data Scientist at the center of excellence at E.Breuninger, developing the data-driven solutions that enable to deliver an outstanding shopping experience to customers. Before joining Breuninger, she worked mainly on academic research. She has a mechanical engineering and industrial engineering background, and holds Ph.D. in Operations Management.
Jin Liu is a Data Scientist at E.Breuninger. After completed M.Sc in computer science she begins her journey in the realm of data science. She enjoys discovering insights from data and believes in the potential of data to be a guiding force in making informed choices that positively impact individuals and organizations.