Blagoj Petrushev
Staff Data Scientist
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolBlagoj Petrushev is a Staff Data Scientist based in Berlin with 14 years of experience applying optimization, Bayesian modeling and causal inference to logistics, pricing and auction problems. He combines a strong software-engineering background—building distributed services, data pipelines and backend systems—with hands-on data science leadership at trivago and NEW YORKER to deliver measurable supply-chain and auction improvements. He favors asking the right questions and matching methodology to business economics, often translating research designs into production-ready solutions at scale. An active Python contributor, he has improved text-processing in popular tooling like the amueller/word_cloud project, reflecting attention to accuracy and performance in data pipelines.
14 years of coding experience
16 years of employment as a software developer
Diploma Physics, Diploma Physics at Faculty of Natural Science and MathematicsInternship Informatics, Internship Informatics at Technical University of Munich
Stackoverflow
5,543reputation
756kreached
73answers
23questions
mysql
top-5%
mod-wsgi
top-5%
python
top-5%
Github Skills (20)
character-encoding10
python10
regular-expression10
encoding10
text-processing10
unicode10
encode10
mysql9
data-structure9
mod-wsgi9
data-structures9
flask6
robots-txt6
lxml6
jinja26
Programming languages (4)
Github contributions (5)
amueller/word_cloud
Jul 2014 - Jul 2014
A little word cloud generator in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits in 4 days
Contributions summary:Blagoj made several contributions focused on improving the text processing functionality of the word cloud generator. They implemented features to ignore digits and handle Unicode characters correctly. Additionally, they optimized the code by merging plural word counts into singular ones and made minor improvements to readability and performance. The changes show a focus on enhancing the accuracy and efficiency of the word processing pipeline.
pythondjangowordcloudword-cloudpython3
petrushev/songkicktrack
Aug 2017 - Jan 2023
Contributions:39 pushes, 1 branch in 5 years 6 months
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