Gilbert Langat
Principal Lead Prediction at ezra
Dubai, Dubai, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolGilbert Langat is a Principal Lead in Prediction and data scientist with eight years of experience building credit scoring and risk analytics solutions across agritech, clean energy, and fintech in Africa. Based in Dubai, he focuses on expanding financial inclusion by developing alternative-data driven credit models and productionized ML systems that reduce portfolio risk and boost profitability. His work includes lowering PAR-30 for a solar PayGo portfolio and creating farmer scoring and device-finance credit frameworks that accelerate access to smartphones and agricultural inputs. He bridges data, product, and business teams to turn pilots into measurable impact, routinely designing experiments and go-to-market analytics for emerging markets. Gilbert holds graduate degrees from Stellenbosch and Cape Town and combines rigorous academic training with hands-on delivery in constrained-data environments. He often pairs technical model development with pragmatic business metrics, delivering solutions that are as operationally useful as they are statistically sound.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Master of Science - MS at University of Cape TownMaster of Science - MS, Master of Science - MS at Stellenbosch UniversityBachelor of Science - BS, Bachelor of Science - BS at University of Nairobi
Github Skills (4)
webscraping6
r5
python5
machine-learning4
Programming languages (1)
Github contributions (5)
LangatGilbert/100daysofcode
Apr 2020 - Feb 2022
Repo on interesting projects I've been working on ranging from webscraping to modelling and research
Contributions:52 commits, 1 PR, 49 pushes in 1 year 10 months
pythoninterestingrangingworking-oncredit-scoring
LangatGilbert/langatgilbert.github.io
Jul 2020 - Nov 2021
Contributions:49 commits, 46 pushes, 1 branch in 1 year 4 months
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