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)
model-building8
machine-learning6
python6
spark-ml6
api5
dataframe5
pyspark5
big-data5
data-science5
spark5
apache-spark4
polars4
pydata4
pandas4
apache4
Programming languages (2)
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 package to handle model building with big data and fast real-time pre-processing, even for a large number of QPS, using only Python.
Contributions:2 reviews, 7 commits, 22 PRs in 19 days
qpspre-processingpythondata-sciencemodel-building
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