Babs Olaniyi
Data Scientist
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolBabs Olaniyi is a data scientist with nine years of experience building applied machine learning systems that turn complex health and commercial data into actionable decisions. Currently at Causal Foundry in Barcelona, she focuses on data products for healthcare financing, provider performance, and scalable reinforcement-learning approaches to improve patient outcomes. Her background spans pricing and demand-forecasting systems at ZF Group, digital health personalization at benshi.ai, and customer analytics for growth-stage businesses, giving her a rare blend of econometrics, product analytics, and production-ready modeling. Trained in econometrics and quantitative economics across European universities, she prioritizes models and metrics that are actually used in policy and operations and enjoys mentoring early-career professionals. An understated strength is her track record of translating archival and messy real-world datasets into robust pipelines and decision tools that non-technical stakeholders can trust.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Econometrics and Quantitative Economics, Master of Science - MS Econometrics and Quantitative Economics at Universitat Autònoma de BarcelonaMaster of Science - MS Economics, Master of Science - MS Economics at Bielefeld UniversityMaster of Science - MS Econometrics and Quantitative Economics, Master of Science - MS Econometrics and Quantitative Economics at University of Paris I: Panthéon-SorbonneBachelor of Science - BS Mathematics and Statistics, Bachelor of Science - BS Mathematics and Statistics at KWARA STATE UNIVERSITY, MALETE
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (59)
cognitive-services10
porting10
pyspark10
data-science9
spark9
apache-spark9
scala9
onnx9
classification9
databricks9
machine-learning9
opencv9
http9
lightgbm9
ai9
Programming languages (6)
Github contributions (5)
babaniyi/Deep-contextual-bandits
Sep 2021 - Jan 2022
Deep contextual bandits in PyTorch: Neural Bandits, Neural Linear, and Linear Full Posterior Sampling with comprehensive benchmarking on synthetic and real datasets
Contributions:11 commits, 4 PRs, 7 pushes in 4 months
bandit-algorithmsbanditsmultiarmed-bandits
babaniyi/babaniyi.github.io
Apr 2022 - Jun 2026
Blog template
Contributions:5 reviews, 35 PRs, 140 pushes in 4 years 3 months
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