Quentin Moret
Senior Data Full Stack
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolQuentin Moret is a Senior Data Full Stack engineer based in Paris with 11 years of experience building data products that help impact-driven organisations make better decisions. He blends hands-on data science and engineering—productionizing forecasting and simulation tools at Amazon that unlocked €20M+ in annualized savings—with full-stack delivery in his current role at Murfy. Quentin’s background spans machine learning, signal processing and optimal transport research contributions (notably working on audio processing and texture synthesis in the well-known numerical-tours repository) through to building Redshift-based forecasting pipelines and self-service analytics. Trained at École Centrale and ESSEC, he combines rigorous engineering foundations with business-minded execution and a penchant for turning complex statistical methods into operational, user-facing tools.
11 years of coding experience
Engineer's Degree, Engineer's Degree at Ecole Centrale ParisMaster's Degree, Double Degree, Master's Degree, Double Degree at ESSEC Business SchoolLycée Chateaubriand
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
machine-learning10
pca10
python10
principal-component-analysis10
k-means-clustering10
nearest-neighbors9
audio-processing9
Programming languages (3)
Github contributions (5)
gpeyre/numerical-tours
May 2017 - Dec 2017
Numerical Tours of Signal Processing
Role in this project:
Data Scientist
Data ScientistContributions:32 commits, 3 PRs, 24 pushes in 7 months
Contributions summary:Quentin's commits primarily focus on exploring and applying machine learning techniques to audio processing and texture synthesis within the context of the "Numerical Tours of Signal Processing" repository. They implement various methods including source separation, Gaussian model-based texture synthesis, and demonstrates application of optimal transport. The contributions highlight the use of PCA, nearest neighbor classification, and k-means clustering.
signalbrain-computer-interfacemachine-learningtourssignal-processing
dataforgoodfr/batch2_cresus
Nov 2016 - Mar 2017
Contributions:39 pushes, 2 branches, 7 comments in 4 months
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