Alexandre Rudin

Machine Learning For Credit Rating Prediction And Portfolio Management

Kyiv, France
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Summary

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Alexandre Rudin is a machine learning and financial engineering specialist with a decade of hands-on experience building predictive models and automation tools for finance, currently focused on credit rating prediction and portfolio construction at Crédit Mutuel Asset Management. Comfortable across Python, VBA, C#, and C++, he blends quantitative rigor with practical engineering—having applied ML to bond ratings and created ESG scoring dashboards for BNP Paribas’ Manaos project. Alexandre is also an active full‑stack open-source contributor (notably refining KYC flows and UI/UX features in the ballerine-io project), bringing front-end polish to data-driven workflows. Based between Kyiv and France, he pairs academic training from ESILV and Sorbonne with real-world cybersecurity and product demo experience, making him adept at turning complex financial data into actionable strategies.
code10 years of coding experience
bookmathématiques, physique et sciences de l'ingénieur, MPSI, mathématiques, physique et sciences de l'ingénieur, MPSI at Lycée Lakanal
bookFinancial engineering, Financial engineering at ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci
bookMathématiques, Mécanique, Physique, L1, Mathématiques, Mécanique, Physique, L1 at Sorbonne Université
bookLycée Denis Diderot, French School Nairobi
bookLYCÉE FRANÇAIS SAINT LOUIS DE STOCKHOLM
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Github Skills (10)

javascript10
sdk10
front-end-development10
ui-design10
back-end-development9
orchestra8
orchestration8
backend7
svelte6
react6

Programming languages (4)

TypeScriptJavaScriptHTMLSvelte

Github contributions (5)

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ballerine-io/ballerine

Oct 2022 - Jan 2023

Open-source infrastructure and data orchestration platform for risk decisioning
Role in this project:
userFull-stack Developer
Contributions:1 review, 35 commits, 31 PRs in 2 months
Contributions summary:Alexandre appears to have been involved in front-end development, specifically within the web SDK. They were responsible for refactoring and simplifying KYC-related functionality, including the integration of document scanning and camera features. The user also worked on UI enhancements, adding a close button icon and configuring back/close button functionality across the application, implementing dark theme and UI packs. Furthermore, the user worked on the merging and sorting of elements in addition to adding image preloading capabilities.
onboardingidvknow-your-customerriskats
Passion-4-coding/passion-bot

Feb 2023 - Nov 2024

Community discord bot
Contributions:1 review, 1 PR, 153 pushes in 1 year 9 months
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Alexandre Rudin - Machine Learning For Credit Rating Prediction And Portfolio Management