Nuriia Akbasheva

Nuriia Akbasheva

AI Engineer @ Product School

About Nuriia Akbasheva

Nuriia Akbasheva is an AI Engineer with a strong background in data analytics and strategic planning. She has developed AI solutions for the automotive industry and has experience in enhancing contract management processes.

Work at Digital Product School

Nuriia Akbasheva currently serves as an AI Engineer at Digital Product School by UnternehmerTUM, a position she has held since 2024. In this role, she focuses on integrating artificial intelligence into digital products, enhancing their functionality and user experience. Her work involves developing innovative AI solutions that address specific industry needs.

Education and Expertise

Nuriia Akbasheva has a solid educational background in social analysis and data analytics. She studied at the State University — Higher School of Economics, where she earned a Master's degree in Applied Methods of Social Analysis of Markets from 2011 to 2013 and a Bachelor's degree in Sociology from 2007 to 2011. Additionally, she attended ReDI School of Digital Integration, completing the Digital Career Program in Data Analytics and Backend Fundamentals from 2022 to 2023.

Background in AI Development

Nuriia has worked on several Generative AI Minimum Viable Products (MVPs) utilizing chains of prompts and Retrieval-Augmented Generation (RAG) techniques. Her experience includes developing AI features that assist purchasing officers in a prominent German automotive company by generating email and contract wording suggestions. She has also contributed to an app designed to reduce the workload of purchasing officers by 10-15%.

Previous Experience at Publicis and Caona Health GmbH

Before her current role, Nuriia Akbasheva worked at Publicis as a Strategic Planner & Analyst from 2013 to 2016. She later served as a Data Analyst at Caona Health GmbH from 2023 to 2024. In these positions, she gained valuable insights into data analysis and strategic planning, which have informed her current work in AI engineering.

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