Vladimir Kolesnikov
Senior Data Scientist
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVladimir Kolesnikov is a Senior Data Scientist based in the UK with six years’ experience applying machine learning and analytics across banking and retail operations. He has driven high-impact projects at Santander and Ocado, including a gradient-boosting customer screening model that cut false positives by 60% and an optimisation engine that saved over £2M annually. Comfortable with productionising models (REST APIs, PySpark) and building executive-facing dashboards, he blends strong mathematical training (BSc Mathematics, MSc Computational Finance) with practical business acumen in financial crime, payments and logistics. Vladimir’s background spans end-to-end solutions from feature engineering and dimensionality reduction techniques to scalable deployment and stakeholder presentations to C-levels. He is a fast learner who surfaces non-obvious operational levers—e.g., combining combinatorial search with contractual constraints—to unlock measurable savings.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Mathematics with Statistics, Upper Second Class Honours (67%), Bachelor of Science (BSc), Mathematics with Statistics, Upper Second Class Honours (67%) at Royal Holloway, University of LondonUniversity College London
English, Russian, German
Github Skills (13)
cosmwasm10
logic10
rust9
browser6
python6
keyboard6
qt5
vim5
qtwebengine3
actor3
qutebrowser3
scalable1
actor-model1
Programming languages (2)
Github contributions (4)
nolus-protocol/nolus-money-market
Mar 2022 - Mar 2023
Core logic as CosmWasm contracts defining the Nolus money market
Contributions:5 reviews, 235 commits, 10 PRs in 1 year
contractscosmwasmlogicmarketmoney
igo2bodhi/test
Jan 2020 - Jan 2020
Contributions:1 push, 1 branch in 1 day
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