Oleksandr Burlayenko

Senior Data Scientist Credit Risk @Klar

Mannheim, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jun 2025 — Present

Senior Data Scientist Credit Risk @Klar

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Berlin, DE

Design, train, and deploy predictive models in production using advanced ML and deep learning techniques- Gather, clean, and preprocess large-scale datasets from diverse internal and external sources- Analyze complex data patterns to extract insights and support credit risk modeling and strategy- Collaborate with engineering, product, and risk teams to deliver stable, scalable ML solutions- Communicate findings to technical and non-technical stakeholders, influencing decision-making- Continuously optimize model performance and operational efficiency via experimentation and iteration

EDUCATION

2018 — 2020

V. N. Karazin Kharkiv National University

Master of Science - MS, High Energy Physics

2003 — 2014

Secondary general education school #17

Secondary School education, diploma with honors, Foreign languages

N/A

The University of Freiburg

Dr. rer. nat., Physik, High Energy Physics (ATLAS Group, CERN)

2019 — 2020

Paris-Sud University (Paris XI)

Master of Science - MS, Elementary Particle Physics

2014 — 2018

V. N. Karazin Kharkiv National University

Bachelor of Science - BS, Theoretical Nuclear Physics

ABOUT OLEKSANDR BURLAYENKO

Sr. Data Scientist at Klar, focused on building production ML systems that improve credit decisioning and risk strategy. My role spans the full model pipeline: data discovery and preprocessing, feature engineering over large-scale behavioral and financial datasets, model training and calibration, robust validation, and continuous monitoring and iteration after deployment in close collaboration with engineering, product, and risk teams.Before fintech, I was a researcher at CERN (ATLAS Collaboration) and the University of Freiburg, where I designed and implemented large-scale data analyses contributing to precision measurements in high-energy physics. My work focused on measuring fundamental properties of the elementary particles that compose our universe, specifically, Spin Correlation and Quantum Entanglement in top–antitop quark pair production.

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Oleksandr Burlayenko — Senior Data Scientist Credit Risk at Klar in Mannheim, DE | Unifers