Perfect Gidisu

Credit Risk Data Scientist

Eindhoven, North Brabant, Netherlands
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Summary

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Senior
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Top School
Perfect Gidisu is a credit risk data scientist and final-year PhD candidate in Applied Mathematics with eight years of experience applying predictive modelling, machine learning and data-driven research across banking, fintech and academia. She has built production-grade credit risk models and customer-segmentation algorithms at ING and Gimme5, and now brings that expertise to Booking.com, pairing rigorous quantitative methods with business-focused impact. Her background spans quantitative finance (MSc, Milan and exchange at Peking University), economics and internal audit, giving her a rare blend of model development, governance and domain insight. Known for lateral thinking and rapid learning, she has taught and mentored students while translating complex statistical ideas into actionable products for risk and marketing. An accomplished researcher, she leverages high-performance analytics and innovative data sources to extract predictive signals often overlooked in standard credit models.
code8 years of coding experience
job7 years of employment as a software developer
bookBachelor of Arts - BA, Economics and Political Science, Bachelor of Arts - BA, Economics and Political Science at University of Ghana
bookMaster's degree Exchange Program, Quantitative Finance, Master's degree Exchange Program, Quantitative Finance at Peking University HSBC Business School
bookACCA
bookUniversity of Milan
bookDoctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Eindhoven University of Technology
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Github Skills (13)

prediction9
espn8
hypothesis-testing7
python7
forecasting7
statistics7
regression-models7
statsmodels6
econometrics6
modeling6
data-analysis5
data-science5
generalized-linear-models3

Programming languages (1)

Python

Github contributions (5)

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Contributions:60 commits, 46 pushes, 1 branch in 7 months
Contributions:72 pushes, 1 branch in 1 year 1 month
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