Olivier Sprangers
Applied Scientist at Nixtla
Amsterdam, North Holland, Netherlands
Summary
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Rockstar🎓
Top SchoolOlivier Sprangers is an Applied Scientist based in Amsterdam with six years of experience bridging academia and industry, now applying doctoral-level research at Nixtla. He completed a PhD at the University of Amsterdam after technical degrees from Delft, and has a background in pricing, private equity and debt portfolio management that informs his pragmatic approach to data problems. Olivier blends strong quantitative modeling skills with product-minded execution—translating research into deployable forecasting and pricing solutions. His career path shows a knack for shifting between rigorous research and commercial impact, from Coolblue’s pricing team to financial asset management roles. Colleagues would note he brings both theoretical depth and a trader’s sense for signal extraction in noisy data.
6 years of coding experience
6 years of employment as a software developer
MSc, MSc at Delft University of TechnologyGymnasium, Gymnasium at Mencia de Mendoza LyceumDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Universiteit van AmsterdamLLB, LLB at Leiden UniversityGymnasium, Gymnasium at St. Maartenscollege
Github Skills (129)
prediction-model10
parallel10
anomaly-detection10
python10
prophet10
pls10
density-estimation10
deep-learning10
gpu10
forecast10
hint10
forecasting-models10
deepar10
r10
statistics10
Programming languages (4)
Github contributions (5)
elephaint/pgbm
May 2021 - Nov 2022
Probabilistic Gradient Boosting Machines
Contributions:3 reviews, 128 commits, 11 PRs in 1 year 6 months
machinesmachine-learningprobabilisticgradientboosting
elephaint/neuralforecast
Jan 2024 - Apr 2024
Scalable and user friendly neural :brain: forecasting algorithms.
Contributions:47 pushes, 39 branches in 2 months
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