Darya Dedik
Senior Applied Scientist - Fashion Recommendation
Berlin, Germany
Summary
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Senior🎓
Top SchoolDarya Dedik is a Senior Applied Scientist at Zalando with nine years of experience building personalization and recommendation systems, backed by a strong academic foundation in ML and NER from the Max Planck Institute and Saarland University. She has driven production A/B experimentation platforms and co-maintained Zalando’s open-source ExpAn library, combining frequentist and Bayesian expertise with practical Spark, Python and Scala pipelines. Her background spans applied statistics, MCMC/variational inference, and NLP tasks such as text classification and image captioning, making her adept at bridging research and product-grade systems. Based in Berlin, she also trains non-technical audiences on ML concepts and brings a creative edge through photography and digital content creation.
9 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Applied Mathematics, 1.0/Excellent, Bachelor's Degree, Applied Mathematics, 1.0/Excellent at Sumy State University, UkraineMaster's Degree, Computer Science, 1.7 (thesis) /2.0 (average), Master's Degree, Computer Science, 1.7 (thesis) /2.0 (average) at Universität des Saarlandes
German, English, Ukrainian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
statistics10
ab-testing10
abtest10
causal-inference10
python9
mapreduce3
machine-learning3
data-science2
Programming languages (1)
Github contributions (5)
daryadedik/expan
May 2017 - Sep 2019
A Python library for statistical analysis of randomised control trials (A/B tests)
Contributions:1 PR, 8 pushes, 3 branches in 2 years 4 months
python
daryadedik/playground
Nov 2016 - Mar 2017
Contributions:26 commits, 30 pushes, 1 branch in 3 months
codilityinterviewbitpythonleetcodedata-science
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