Valeri Voev
Principal Data Engineer
Region of Southern Denmark, Denmark
Summary
👤
Senior🎓
Top SchoolValeri Voev is a Principal Data Engineer with nine years of professional experience who transitioned from an academic econometrician to a hands-on builder of end-to-end analytic solutions at The LEGO Group. He combines PhD-level expertise in time-series and volatility modelling with practical skills in deep learning, NLP, Shiny apps, SQL and Hive, having completed the deeplearning.ai specialization and applied TensorFlow/Keras in production-relevant contexts. His background in reliability engineering and quantitative risk (Siemens) informs a disciplined, probabilistic approach to data-driven product development and model risk management. Comfortable spanning data ingestion, modelling and visualization, he is particularly strong at turning complex statistical methods into actionable insights and interactive tools. Based in Southern Denmark, he brings both research rigor and product-focused delivery to large-scale analytics programs.
9 years of coding experience
13 years of employment as a software developer
PhD, Econometrics, PhD, Econometrics at Universität Konstanz / University of Konstanz
English, German, Russian, Danish, Bulgarian
Stackoverflow
2,132reputation
764kreached
61answers
1question
r
top-5%
knitr
top-5%
markdown
top-5%
Github Skills (70)
shiny10
r9
markdown9
python9
deep-learning9
knitr9
machine-learning9
r-package9
rmarkdown9
neural-network8
tensorflow8
dplyr7
parser7
data-science7
pytorch7
Programming languages (5)
Github contributions (5)
ValeriVoev/danstat
Jan 2020 - Jan 2022
An R interface to Danmarks Statistik Statistikbank API
Contributions:2 PRs, 17 pushes, 3 branches in 2 years
r-packageapidatarstatsstatistikbank-api
ValeriVoev/Reliability
May 2017 - Dec 2019
Reliability tools
Contributions:5 commits, 1 PR, 4 pushes in 2 years 7 months
perfstress-testinginspectionreliabilitymonitoring
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