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Paulius Danėnas

Senior Data Scientist, Ml/ai Engineer at Intellerts

Paulius Danėnas is a Scientific Researcher who has vast experience in research projects, data science, AI/ML engineering, and developing analytical tools. With a background in Informatics and Business Informatics, Paulius has worked in various roles at companies such as Kaunas University of Technology, Intellerts, dHealthIQ B.V., Rivile, Fuzzylabs Research Ltd., and RMD Technologies. Paulius's expertise includes AI technology, data analysis, software development, and AI techniques implementation.

Location

Kaunas, Lithuania

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Intellerts

We are Intellerts; nice to meet you! What we all have in common at Intellerts is an attitude of curiosity about Data and Science. Intellerts design and develop Data Science solutions; from strategy to execution, we lay the foundations for our clients. We develop solutions to let them utilise the value of data using various tools, technologies and methodologies. Our shared ambition is to maximise the positive contribution of data to people's life – by connecting data and people in an easily accessible manner - supporting them in making data-driven decisions. Intellerts help its clients build up existing capabilities in-house, run Data Science solutions as an outsourced service, or combine an in-house/outsourced Data Science capability. Intellerts' Center of Excellence (CoE) offers a Data Science competence centre. It consists of a team of different roles with deep knowledge of various data science functions. We love to explain the inner workings of technologies. We simplify the complex but don't oversimplify – data science is not simplistic. We dare to try and are not afraid to make mistakes. We believe we learn most from what didn't work or where things failed. Finally, we are bold but humble. Let's connect! We love to tell stories about our journeys; we love to share our stories. Our LinkedIn page provides regular updates on topics in our field. On our website, you will find more details about Intellerts. And for future data scientists: do not forget to check our vacancies; we might see you soon!


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Employees

11-50

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