@valentinashelkovniko
Product Analyst at AUTODOC who developed pricing experiments that raised add-to-cart rate from 1.2% to 1.5% without cannibalization.
PortugalAt AUTODOC, I design and analyze product experiments across its e-commerce marketplace. My pricing tests raised add-to-cart rate from 1.2% to 1.5% without cannibalization.
I built a Python/SQL framework for scalable experiments across 15K+ SKUs, and an assortment optimization tool covering 120K SKUs. I also automated 20+ analytical pipelines with Python and Airflow to improve data access for business teams.
Work history, roles, and key accomplishments
Led end-to-end design and statistical analysis of product experiments, built automated Python/SQL frameworks for scalable A/B testing, and developed data parsing and matching solutions. Analyzed margin drivers, cannibalization effects, and competitor impact to support pricing and assortment decisions.
Degrees, certifications, and relevant coursework
Bachelor's Degree, Applied Mathematics and Informatics
Bachelor's Degree in Applied Mathematics and Informatics from Novosibirsk State Technical University.
Software and tools used professionally
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