Julia Brosig
Topic Chapter Lead AI Solutions Lead Data Scientist
Munich, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolJulia Brosig is an AI and data science leader based in Munich with nine years of experience driving analytics and machine learning initiatives across consulting and industry. As Topic Chapter Lead AI Solutions and Lead Data Scientist at Wavestone since 2019, she combines strategic leadership with hands-on delivery for enterprise AI projects. Her earlier roles at PwC and KPMG cemented strong practice-level expertise in translating complex business problems into production-ready models. Academically grounded with an M.Sc. in Data Science from Ludwig-Maximilians-Universität and a background in industrial engineering from DHBW, she bridges quantitative rigor and practical engineering. Known for building cross-functional teams and frameworks rather than single-point solutions, she emphasizes scalable, auditable AI practices. Based in Germany, she brings a consultant’s client focus together with deep technical stewardship for responsible AI adoption.
9 years of coding experience
4 years of employment as a software developer
Wirtschaftsingenieurwesen, Wirtschaftsingenieurwesen at Baden-Wuerttemberg Cooperative State University (DHBW)Master of Science (M.Sc.) Data Science, Master of Science (M.Sc.) Data Science at Ludwig-Maximilians-Universität München
Github Skills (35)
xai10
lime10
interpretable-machine-learning10
feature-selection9
r-package9
survival-analysis9
fairness-ml9
variable-selection9
tidymodels9
cran8
classification8
clustering8
r-language8
mixed-models8
regression8
Programming languages (3)
Github contributions (5)
juliafried/innolab
Nov 2017 - Nov 2017
Contributions:4 PRs, 25 pushes, 4 branches in 15 days
juliafried/interpretable-ml-book
Mar 2018 - Aug 2018
Book about interpretable machine learning
Contributions:1 push, 1 branch in 5 months
deep-learningmachine-learningattributionincremental-learninginterpretable
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