Simon Corde
Machine Learning Engineer at Cartier
Paris, Ile-de-France
Summary
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Top SchoolSimon Corde is a Machine Learning Engineer with 8 years' experience, currently a Principal ML Engineer at Cartier in Switzerland, based in Paris. He builds end-to-end ML solutions using Python, JavaScript and GCP, combining production engineering with applied econometrics. Trained at ENSAE ParisTech and Toulouse School of Economics with multiple high‑honors degrees in economics and statistics, he brings rigorous quantitative foundations to data-driven product work. His profile suggests strengths in bridging research-grade statistical modeling and scalable cloud deployments for business impact. Notably, he blends luxury-industry product sensibilities with strong technical tool fluency, making him adept at translating complex models into reliable services.
7 years of coding experience
Master of Science (MSc), Data Science, Master of Science (MSc), Data Science at ENSAE ParisTechMagistère Economiste-Statisticien, Economics/Statistics, High Honors, Magistère Economiste-Statisticien, Economics/Statistics, High Honors at Toulouse School of Economics - Université Paul-SabatierL3 Economics, Economics, High Honors, L3 Economics, Economics, High Honors at Toulouse School of Economics
Spanish, English, French
Stackoverflow
3reputation
911reached
0answers
1question
Github Skills (9)
lift10
r-package9
r8
machine-learning7
statistics6
cluster-analysis6
nearest-neighbors6
data-analysis6
data-science5
Programming languages (2)
Github contributions (5)
Redcart/helda
Jan 2019 - Mar 2021
This repository is built for the R package helda (helpful functions for data analysis in R).
Contributions:272 commits, 21 PRs, 239 pushes in 2 years 1 month
r-packagedata-analysisdata-sciencemachine-learninghelpful
Redcart/velib_streaming
Oct 2020 - Feb 2021
This repository aims at gathering resource for building an ML project based upon streaming data from velib.
Contributions:4 PRs, 32 pushes, 4 branches in 4 months
ml-projectstreaming-datagatheringstreamingmachine-learning
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