Lucie Jilkova is a Principal Data Analyst in New Zealand with 10 years of experience translating complex scientific problems into actionable data products. With a PhD in astrophysics and a background running large-scale gravitational simulations and contributing to the AMUSE open-source framework, she brings rigorous research discipline to public-sector transport analytics and marketing data science. She has built robust ETL pipelines, automated advertising workflows, anomaly detection dashboards, and automated reporting—skills honed across roles at Carvana and the Ministry of Transport. Lucie combines deep statistical and coding expertise (Python, SQL, data visualization) with experience mentoring students and collaborating on multi-institution projects, making her adept at both technical delivery and cross-team communication. An interesting facet of her profile is the transition from programming Fortran for orbital integrations to deploying modern production data solutions, reflecting a rare blend of legacy scientific computing and contemporary data engineering.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Astronomy and Astrophysics, Doctor of Philosophy (PhD), Astronomy and Astrophysics at Masaryk University Brno, Faculty of Social Studies
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