Christian Frantzen is a software engineer with 11 years of experience blending data engineering, analytics and machine learning across public sector and corporate environments in Luxembourg. He has designed end-to-end data solutions—building MSSQL data warehouses, Azure Data Factory pipelines and Power BI dashboards—to turn fragmented sources into operational insights for healthcare, private equity and revenue assurance use cases. At EY he combined hands-on ETL development with process audits and fraud detection, pairing technical implementation with risk-aware controls. Earlier roles include developing predictive-maintenance tooling at GE Aviation, giving him practical exposure to production ML libraries and telemetry-driven analytics. Trained in computer science and AI in Brussels and Southampton, he brings a research-informed approach to pragmatic, business-focused data products. Colleagues would note his knack for translating messy data quality questions into concrete pipeline and governance improvements that scale.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at University of Southampton
Master's degree, Computer Science, Master's degree, Computer Science at Université libre de Bruxelles
High School, Mathematics and Computer Science Orientated, High School, Mathematics and Computer Science Orientated at Lycée Aline Mayrisch
A "poorly written" (would have done it differently today) bot that scrapes wahlrecht.de for the newest polls and sends updates via telegram
Contributions:16 PRs, 26 pushes, 19 branches in 3 years 5 months
telegram-botpollspythonbottelegram
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