Nuo Chen
Data Scientist
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolNuo Chen is a data scientist with nine years of experience applying ML and marketing science to drive business impact, currently at Meta after progressing from marketing and digital strategy roles at GroupM and Borrowell. With an academic foundation in cognitive science and philosophy (University of Toronto) and an MS in Computer Science from Georgia Tech, Nuo blends rigorous technical skill with behavioral insight to tackle attribution and optimization problems. At Meta they moved from a Marketing Science Partner into a hands-on Data Scientist role, contributing to scalable modeling and experimental design. Nuo is also an active open-source contributor to Meta’s Robyn MMM project, adding hyperparameter optimization, data splitting, and Nevergrad integration to improve model robustness. The combination of marketing domain experience and production ML engineering gives Nuo an uncommon ability to translate complex data science into actionable media strategies.
9 years of coding experience
1 year of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at Georgia Institute of TechnologyBachelor's Degree, Cognitive Science & Philosophy, Bachelor's Degree, Cognitive Science & Philosophy at University of Toronto
English, Chinese, Japanese, shanghaiese, German
Github Skills (8)
hyperparameter-optimization10
pandas10
machine-learning10
econometrics10
python10
scikit-learn9
r9
scikit9
Programming languages (3)
Github contributions (5)
facebookexperimental/Robyn
Oct 2021 - Jan 2022
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Role in this project:
ML Engineer / Data Scientist
ML Engineer / Data ScientistContributions:9 commits, 7 pushes in 3 months
Contributions summary:Nuo contributed significantly to the `Robyn` package, an AI/ML-powered marketing mix modeling tool. Their work involved adding and modifying utility files, integrating the `pypref` library, and implementing hyperparameter optimization and data splitting functionalities within the modeling process. The commits also show modifications to the core modeling logic and outputs, including the integration of Nevergrad for optimization.
gradient-based-optimisationeffectivityridge-regressionadvertisersmarketing-mix-modelling
nuochen/data-science
Aug 2017 - Jan 2018
Contributions:23 pushes, 1 branch in 6 months
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