Lauren Ennesser
Associate Data Engineer
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolLauren Ennesser is an Associate Data Engineer with a PhD in Physics from Ohio State and a decade of technical experience applying high-performance computing, Python and C++ to large-scale scientific datasets. She transitioned from leading analysis for the DESI collaboration—specializing in masking contaminants in quasar spectra—to building production data pipelines at IBISWorld, bringing rigorous experimental methods to business analytics. Comfortable with GitHub-based collaborative development and familiar with PyTorch and TensorFlow, she combines research-grade data hygiene with practical engineering for actionable insight. Her background spans particle-physics QA at CMS to 3D graphics and animation, reflecting a rare mix of precision measurement and creative tooling that helps bridge complex data problems and clear deliverables.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Illinois at ChicagoDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The Ohio State UniversityBacherlor of Arts, Computer Animation, Bacherlor of Arts, Computer Animation at Columbia College Chicago
Spanish
Github Skills (13)
crystallography10
density-estimation10
correlation10
calculation10
cosmology10
gamma10
continuum10
astrophysics9
diffraction9
hydrodynamics9
fits8
lpc7
git3
Programming languages (2)
Github contributions (5)
LaurEnnesser/Polaris
Oct 2019 - Oct 2019
Contributions:1 push, 1 branch in 1 day
LaurEnnesser/BALTools
May 2021 - May 2021
Contributions:1 push, 1 branch in 1 day
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