Aris Wibowo

Data Scientist

Berlin, Germany
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Summary

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Senior
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Top School
Aris Wibowo is a Berlin-based data scientist with 11 years of experience specializing in credit risk modeling and data-driven decision making across fintech and banking. He has applied his mathematical background from Institut Teknologi Bandung to production risk systems at institutions like CIMB Niaga, Bank OCBC NISP, Tokopedia’s Fintech Tribe, ByteDance, and now Kredivo Group. Comfortable moving models from experimentation to deployment, he focuses on building scalable credit models and analytics that balance predictive performance with regulatory and business constraints. His trajectory shows repeated collaboration with fast-moving fintechs and large financial institutions, giving him a practical blend of startup agility and enterprise rigor. Notably, he combines formal actuarial and mathematics training with hands-on bootcamp practicals, enabling both statistical depth and pragmatic engineering. Based in Germany, he brings cross-border perspective to risk problems in emerging-market digital credit.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science (B.Sc.) Mathematics, Bachelor of Science (B.Sc.) Mathematics at Institut Teknologi Bandung
bookBootcamp Data Science, Bootcamp Data Science at Data Science Indonesia
bookIPA, IPA at SMA Negeri Unggulan M.H. Thamrin Jakarta
languagesIndonesian, English
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Stackoverflow

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Github Skills (38)

kaggle8
analytical8
r8
meta8
catboost7
data-mining7
classification7
python7
decision-tree6
cuda6
gpu6
machine-learning6
gradient-boosting6
java6
data-science6

Programming languages (6)

JavaRC++HTMLJupyter NotebookPython

Github contributions (5)

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python-itb/open-class-makers

Feb 2018 - Oct 2018

Open Class di Makers Institute. 13 Februari 2018. https://python-itb.github.io/open-class-makers
Contributions:31 commits, 6 PRs, 27 pushes in 8 months
makerspythoninstitute
arisbw/arisbw.github.io

Jun 2017 - Apr 2026

Contributions:23 pushes, 3 branches in 8 years 10 months
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