Serving Customer Insights in Zalando (Upcoming Presentation in our Machine Learning Lecture)

Published by Joeran Beel on

After announcing a guest presentation from Zalando in our e-Business lecture, we are delighted to announce another talk by Zalando, this time in our machine learning lecture.

Antoaneta Marinova, Data Scientist and Machine-Learning Engineer at Zalando

Antoaneta Marinova, Data Scientist and Machine-Learning Engineer at Zalando

Antoaneta Marinova from Zalando, will give a presentation on 27th November at 15:00 o’clock. Antoaneta is a Data Engineer in the Customer Fashion Profile team. She works at Zalando for two years, mainly on attribute recommendations and customer segmentation. Previously, she was working on ad optimisation for Adcash and as a software developer in Axway. She has a masters degree in Artificial Intelligence and a bachelor in Computer Science from Sofia University.

Antoaneta´s talk is titled “Serving Customer Insights in Zalando“. The abstract is as follows.

The presentation will focus on Zalando’s Customer Fashion Profile. The team provides insights and empower personalisation by identifying fresh, relevant and impactful attributes for Zalando customers. I will introduce how we define customer problems, provide online recommendations and evaluate the performance of our models. I will focus on how to deploy a model in production (serving millions of customers) and measure its impact. I will also give examples of A/B tests we have run and KPIs we use in our current use cases.

While the talk is primarily intended for my students, external listeners are also welcome. If you are interested in attending the presentation, please contact me before the 26th of November, 10:00 o’clock.


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