Charles Poli
Data Scientist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolCharles Poli is a Data Scientist based in London with 11 years of experience applying machine learning and quantitative research across fintech and quantum computing domains. Currently at PayPal, he translates complex models into production-ready solutions, drawing on earlier roles at Simility and a senior research leadership position at Cambridge Quantum Computing. His background includes a string of academic postdoctoral appointments and a PhD in Physics, giving him deep expertise in modelling, statistical inference, and experimental design. Comfortable bridging research and product teams, he has moved from fundamental physics to pragmatic fraud detection and payments use cases. Colleagues value him for bringing rigorous scientific thinking to high-impact engineering problems and for navigating ambiguous problems where data and domain knowledge must be fused. An international career across top universities and applied research labs hints at strong adaptability and a penchant for tackling novel, interdisciplinary challenges.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at Université Côte d'AzurM2 Physique, M2 Physique at Paris-Sud University (Paris XI)
French, English, Spanish, Italian
Github Skills (18)
binary-classification9
onnxruntime8
preprocessing8
feature-engineering7
python7
rule-based7
pydata6
scikit-learn6
big-data6
machine-learning6
onnx6
dataframe6
spark6
data-science6
polars5
Programming languages (1)
Github contributions (5)
cpoli/tbee
Oct 2015 - Feb 2016
Contributions:62 commits, 58 pushes, 1 branch in 4 months
paypal/gators
Jan 2022 - Feb 2022
Gators is a lighting-fast Python feature engineering library with 100+ transformers.
Contributions:2 reviews, 7 commits, 22 PRs in 19 days
feature-engineeringpythondata-sciencemachine-learningbig-data
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