Daria Petrova
Analyst at VK
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolDaria Petrova is an analyst and data scientist with eight years of experience applying machine learning and data analysis across physics, medicine, and large-scale product teams. She has driven search quality and labeling automation at Yandex, built production-ready models and experiments at Avito, and now contributes analytics work at VK, combining research rigor with product-focused impact. Her background includes optimizing distributed algorithms at Huawei and improving ECG classification using hybrid boosting-CNN approaches at Sberbank’s AI lab, reflecting a rare mix of systems and domain-specific modeling skills. A winner of multiple analytics competitions and an alumna of Yandex School of Data Analysis, she gravitates toward algorithm development and challenging, unfamiliar research problems.
8 years of coding experience
4 years of employment as a software developer
National University of Science and Technology "MISIS" (Moscow Institute of Steel and Alloys)Non-official master-level degree, Data Analysis in Applied Science, Non-official master-level degree, Data Analysis in Applied Science at Yandex School of Data Analysis
German, Russian, English
Github Skills (4)
machine-learning1
artificial-intelligence1
neuroimaging1
machine-learning-models1
Programming languages (3)
Github contributions (5)
Indevem/cpp_homework
Sep 2018 - Nov 2020
Contributions:67 pushes, 3 branches in 2 years 2 months
valer1435/painting_dating
Aug 2020 - Sep 2020
Contributions:13 commits, 6 pushes in 21 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.