"Women in Tech ERG at Zalando"
"Women in Tech ERG at Zalando"
24 - 7:20 AM EDT/New York (See in local time)
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04/24/2024 7:20 AM
04/24/2024 07:50 AM
America/New_York
#WTGC2024
"Women in Tech ERG at Zalando"
#WTGC2024
"Women in Tech ERG at Zalando"
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"Women in Tech ERG at Zalando"
"Women in Tech ERG at Zalando"
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Session: Women in Tech ERG at Zalando
This presentation introduces Zalando's commitment to diversity and inclusion through its Employee Resource Group (ERG). Beginning with an exploration of ERGs and their benefits, it then zooms in on the pivotal role of the Women in Tech ERG. Highlighting the pressing need for such initiatives in the tech industry, it articulates the ERG's purpose and goals. These include empowering and supporting women to thrive in tech professions, facilitating the exchange of knowledge and experiences, and fostering inclusivity by forging partnerships to enhance the recruitment and retention of women in tech roles.Key Takeaways
- Zalando's Employee Resource Group (ERG) Program and its benefits.
- Women in Tech ERG aims to empower women in tech, foster knowledge sharing, and create an inclusive culture through partnerships.
- Example initiatives that Women in Tech ERG at Zalando is driving to achieve its goals.
Bio
Svitlana Borzenko - is a Senior Software Engineer at Zalando focused on personalization, recommendation, and search systems. She worked on recommendation and ranking platforms and contributed to multiple projects which enabled personalized customer experience by applying machine learning and experimentation. She is also a core member of the Zalando Women in Tech Employee Resource Group and participates in hiring new colleagues. Svitlana holds a Master's degree in Applied Mathematics and Informatics from Ivan Franko National University of Lviv.Darya Dedik - is a Senior Applied Scientist at Zalando specializing in personalization and recommendation systems. Throughout her 6.5-year journey at Zalando, she has contributed to various projects, focusing on building outfit recommendations, product ranking, and developing an A/B experimentation tool utilized across the organization. Darya holds a Master's degree in Computer Science from the Max-Planck Institute for Informatics (Saarland University), with a specialization in Natural Language Processing. She is also a core member of the Zalando Women in Tech Employee Resource Group.
Nour Karessli - is an Applied Science Manager at Zalando. She holds a Master degree in Computer Science focused on machine learning and computer vision from Saarland University - Max Planck Institute for Informatics. She leads applied research efforts on building personalized machine learning models to provide customers with tailored fashion inspiration and recommendations. In parallel, she’s on the organizing committee of Zalando Data Science Community (DSC) and Zalando Women in Tech Employee Resource Group (ZWT ERG).
