Petr Garmider
Data Scientist At Yandex Music
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolPetr Garmider is a data scientist with 8 years of experience, currently shaping personalization and analytics at Yandex Music after driving demand forecasting and replenishment tools at Yandex Market. He blends strong academic training (HSE CS & Economics, YSDA) with practical ML engineering—building neural forecasting models that improved metrics by up to 15% and end-to-end pipelines in pySpark and SQL. His background includes macroeconomic forecasting research (implementing FAVAR) and teaching probability, machine learning and econometrics, which informs a rigorous, reproducible approach to model design. Equally comfortable prototyping research ideas and productionizing them, Petr brings a rare mix of economics intuition and hands-on ML deployment experience.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at State University — Higher School of EconomicsCIFS, CIFS at Westminster International University in TashkentData Science, Data Science at Yandex School of Data Analysis
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
r-package7
statistics7
dataframe6
java6
julia5
plotly5
high-performance5
machine-learning5
visualization5
tableau5
data-science4
dataframes4
econometrics4
spring-mvc4
data-visualization4
Programming languages (3)
Github contributions (5)
PetrGarm/FAVAR
Feb 2020 - Nov 2021
Contributions:32 commits, 34 pushes, 1 branch in 1 year 8 months
bdemeshev/julia_metrics_tutorials
Jan 2021 - Jun 2021
Econometrics Tutorials in Julia
Contributions:12 PRs, 12 pushes, 26 comments in 4 months
econometricsjulia
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