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Darya Dedik

Applied Scientist at Zalando SE

Professional Background

Darya Dedik is a dedicated research engineer currently making strides at Zalando SE, where she focuses on the statistical aspects of A/B testing and optimization. With her strong foundation in statistical methodologies, Darya has been instrumental in leveraging data analytics to enhance decision-making processes, improve product offerings, and optimize the overall customer experience. Her experience in working closely with various teams has allowed her to hone her skills in machine learning while contributing to significant projects that require advanced analytical reasoning and technical expertise.

Prior to her role at Zalando SE, Darya has held multiple positions that underline her diverse skill set. She began her journey as a Research Assistant at the prestigious Max Planck Institute for Informatics, where she was involved in groundbreaking research in the fields of machine learning and information systems. Darya further refined her skills as an Applied Scientist at Zalando SE, before stepping into her current research engineer role. She has also worked as a Software Engineer at IMC AG, where she contributed to various software development projects focusing on high-performance computing and data-centric applications.

Education and Achievements

Darya’s academic credentials are impressive, beginning with her Bachelor’s Degree in Applied Mathematics from Sumy State University, where she graduated with outstanding marks (1.0/Excellent). Her passion for computer science led her to pursue a Master’s Degree in Computer Science, specializing in Machine Learning and Named Entity Recognition, at the renowned Max-Planck Institute and Saarland University. Darya excelled in her studies, achieving a remarkable thesis score of 1.7 (with an overall average of 2.0).

Her solid education in mathematics and computer science has laid a firm foundation for her career, particularly in areas concerning data analysis, visualisation, statistical inference, and natural language processing (NLP). Darya actively engages with her scientific interests, which include applications of machine learning in information retrieval, text classification, machine translation, recommendation systems, and image captioning.

Technical Skills

Darya Dedik is proficient in a multitude of programming languages and technical tools. Her expertise includes:

  • Python: 3 years in industry, utilizing tools such as Jupyter and PyCharm for data analysis and machine learning applications.
  • Scala: 1 year of experience in industry, contributing to distributed data processing tasks.
  • R: 1-2 years of industry experience focusing on statistical analysis and visualization.
  • Java: 2 years of academic experience, employing it for various computational tasks.
  • JavaScript with AngularJS: 2 years in industry, developing client-facing applications.

Darya is well-versed in both Frequentist and Bayesian statistics, MCMC and variational inference, as well as handling the multiple testing correction problem - crucial skills in her research and optimization work.

Research and Scientific Interests

Darya’s research interests span the exciting fields of machine learning, natural language processing, and information retrieval. She has made a name for herself in:

  • Text Classification: Developing algorithms that identify and categorize text into predefined classes.
  • Machine Translation: Researching methods for translating text from one language to another accurately and fluently.
  • Recommendation Systems: Designing systems that suggest products or services to users by analyzing their preferences and behaviors.
  • Word Sense Disambiguation: Focusing on identifying the correct meaning of words based on context, a vital component in NLP.
  • Named-Entity Recognition: Developing systems that recognize and categorize named entities within text, which is essential for various applications, including information retrieval.
  • Image Captioning: Blending computer vision with NLP to generate relevant text descriptions for images.

Hobbies and Personal Interests

Outside of her professional engagements, Darya is also passionate about traveling, which allows her to experience diverse cultures, landscapes, and ideas that inspire her work. Additionally, she enjoys photography and digital content creation, which not only serves as a creative outlet but also complements her analytical skills by encouraging her to think critically about visual storytelling and presentation.

Darya has shared her work on platforms such as GitHub, where she showcases projects and contributes to the broader tech community. She is also active on Kaggle, where her skills in data science and machine learning are put to the test in competitions and projects.

Conclusion

Darya Dedik is a talented research engineer whose impressive educational background and extensive experience in the field

Darya Dedik
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Location

Berlin, Berlin, Germany