Pavel Logačev
Data Scientist
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolPavel Logačev is a senior data scientist based in Berlin with 11 years of experience turning messy, sparse, or irregular data into profitable pricing and forecasting decisions for retail, F&B, B2B and B2C clients. He combines Bayesian modeling, advanced statistics and machine learning to solve hard problems like pricing products with little sales history, estimating willingness-to-pay without experiments, and forecasting in low-volume markets. Pavel has led end-to-end deployments and scalable pipelines that directly improved revenue and margins, mentored teams in applied Bayesian methods, and translated academic rigor from a PhD in cognitive science into practical commercial impact. His background in cognitive science and eye-tracking research gives him an uncommon edge in modeling human behavior and willingness-to-pay, bridging behavioral insight with robust predictive systems. Now at Sell Smart, he focuses on delivering actionable, business-ready pricing solutions that work even when data is imperfect.
11 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Cognitive Science, Doctor of Philosophy (Ph.D.), Cognitive Science at University of Potsdam
German, English, Russian, Turkish
Stackoverflow
21reputation
652reached
0answers
1question
Github Skills (33)
r-package10
multilevel10
statistical-models10
stan10
brms9
bayesian9
bayesian-inference9
mcmc8
bayesian-statistics8
google-ads-api6
r6
journal6
backend5
dbi5
unconf5
Programming languages (2)
Github contributions (5)
plogacev/LING__411_Lecture_Notes
Sep 2018 - Oct 2023
Contributions:23 pushes, 1 branch in 5 years 1 month
plogacev/mvmstan
Jan 2015 - Apr 2017
Contributions:23 commits, 18 pushes in 2 years 3 months
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