Asiya Shakhmametova
About Asiya Shakhmametova
Asiya Shakhmametova is a Data Engineer with expertise in building ETL and streaming services. She has worked for notable companies such as Vestiaire Collective, L'Oréal, and SAINT-GOBAIN RECHERCHE, and holds degrees in Semiconductor Physics, Automatics, Signal and Image Processing, and Optical Engineering.
Current Role at Vestiaire Collective
Asiya Shakhmametova has been working as a Data Engineer at Vestiaire Collective since 2021. In this role, she focuses on building and supporting ETL and streaming services. Her work contributes to the enhancement of machine learning-based recommendation systems, which are integral to the platform's functionality.
Previous Experience in Data Engineering
Before joining Vestiaire Collective, Asiya Shakhmametova worked at L'Oréal as an R&D Engineer specializing in algorithms from 2017 to 2021. Her role involved developing data infrastructure aimed at improving search engine optimization and product recommendation systems. Prior to L'Oréal, she completed a two-year apprenticeship at SAINT-GOBAIN RECHERCHE from 2014 to 2016.
Educational Background in Engineering
Asiya Shakhmametova holds a Bachelor's degree in Semiconductor Physics from Novosibirsk State University, where she studied from 2009 to 2013. She furthered her education by obtaining an Engineer’s Degree in Optical Engineering from Institut d'Optique, completing her studies from 2013 to 2016. Additionally, she earned a Master's degree in Automatics, Signal and Image Processing from Université Paris-Saclay in 2016.
Expertise in Machine Learning and Data Infrastructure
Asiya Shakhmametova has expertise in building and supporting ETL and streaming services. Her work has involved enhancing machine learning-based recommendation systems and developing data infrastructure specifically for search engine optimization and product recommendation systems. This combination of skills positions her as a knowledgeable professional in the field of data engineering.