Valeri Voev
Summary
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SeniorValeri 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
Stackoverflow
2,132reputation
764kreached
61answers
1question
r
top-5%
knitr
top-5%
markdown
top-5%
Github Skills (49)
shiny10
r9
markdown9
knitr9
rmarkdown9
python8
deep-learning8
machine-learning8
r-package8
neural-network7
data-manipulation7
tensorflow7
grammar7
dplyr7
keras6
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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