Wilma Trick is a Data Innovation Scientist with 11 years of experience who transitioned from a PhD-backed career in astrophysics to applying advanced data science and engineering at ZEISS Digital Partners. She excels at driving end-to-end data projects—from problem identification and principled modeling to production-grade Python/C++ pipelines and clear visual storytelling for mixed audiences. Her background at the Max Planck Institutes gives her deep expertise in handling large, noisy datasets and extracting subtle physical signals, a skill she now applies to device data and product-facing analytics. Comfortable leading collaborative, international teams and mentoring researchers, she pairs rigorous statistical thinking with pragmatic software practices. Colleagues value her ability to spot non-obvious patterns in data and translate them into actionable insights that bridge research and industry.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science, Bachelor of Science at University of Konstanz
Master of Science, Master of Science at Heidelberg University
Contributions:79 pushes, 1 branch in 1 year 1 month
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