Tadas Danielius is a seasoned and versatile data scientist with over ten years of experience in the IT industry, specializing in the analysis of large sets of structured and unstructured data using mathematics and applied statistics. Tadas has held roles ranging from Principal Data Scientist at OAG to Software Information Technology Architect at Lietuvos bankas, and Lead Data Scientist at IBM, where they developed and implemented machine learning algorithms. With a strong programming background in C#, Java, JavaScript, SQL, Python, R, and C++, Tadas also contributes to the field as a lecturer and startup mentor. Tadas earned a PhD in Mathematics from Vilnius University and holds additional degrees in Computer Software Engineering and Statistics.
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