At WovenLight, Vlad is a Senior Machine Learning Engineer. His focus is on creating robust and scalable assets for managing the machine learning lifecycle and facilitating advanced analytics solutions.
Before joining WovenLight, Vlad was a Data Scientist at Capgemini Invent, where he focused on the creation of MLOps solutions and the implementation and deployment of machine learning products, for the public sector.
Previously, Vlad worked as a Data Scientist in a consumer financing company where he concentrated on the development and release of machine learning models to inform lead acquisition, loan underwriting and business modelling.
Vlad holds an MSc in Mathematics, Business and Finance from the University of Exeter.
I believe that whilst data science solutions are becoming more prominent in companies, only a minority manage to deliver the infrastructure necessary for sustainable value creation.
WovenLight is applying advanced analytics and machine learning techniques to solve business problems with a scalability mindset. This makes me excited about the prospects of generating long-term opportunities for our portfolio companies.
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