Tadas Danielius is a Lead Data Scientist based in Vilnius with over a decade of experience blending data science, software engineering and IT architecture to deliver production-ready analytics and ML solutions. A former software engineer and architect, he is fluent across C#, Java, Python, R, C++ and SQL and has deep experience with large-scale data platforms including Apache Spark and Hadoop. His career spans multiple senior roles at IBM, Euromonitor and the Bank of Lithuania, where he has led cross-functional teams and shaped system architecture for complex, safety- and mission-critical systems. Academically grounded with an MSc in Statistics and a PhD in Mathematics in progress, he brings rigorous statistical thinking to messy, unstructured data problems. Known for spotting subtle signals in large datasets, he combines curiosity with a pragmatic focus on test-driven development, CI and production reliability. Outside the obvious, he pairs enterprise-scale engineering chops with hands-on model development, enabling smooth transitions from research prototypes to robust operational services.
10 years of coding experience
15 years of employment as a software developer
Computer Science, Computer Science at Roskilde Handelsskole
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Vilniaus universitetas / Vilnius University
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Vilniaus Universitetas
Python library to control Daikin Altherma heat pump
Contributions:4 commits, 5 PRs, 16 pushes in 3 months
python-librarypythondaikin-althermapumpheat
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