Michal Lauer
Data Scientist
Prague Metropolitan Area Czechia
Summary
👤
Senior🎓
Top SchoolMichal Lauer is a data scientist with eight years of hands-on experience building end-to-end ML and marketing-mix models, production R Shiny apps, and data pipelines across industry and public sector projects. Currently combining a PhD in Bayesian statistical inference with applied work at Publicis Groupe, he specializes in Bayesian causality, state-space models for finance and political science, and operationalizing Robyn MMM outputs via SQL and Python ETL. He teaches introductory statistics at the Prague University of Economics and Business, a role he uses to rigorously test and sharpen his conceptual understanding while translating theory into accessible practice. Michal has a track record of productionizing analytic solutions—from PySpark feature engineering at IBM to Keboola-powered data transformations and CI/CD-backed Shiny deployments for national education reporting. Pragmatic about business impact and methodical in uncertainty quantification, he approaches problems through Bayesian updating both in models and everyday decisions.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Bayesian statistical inference, Doctor of Philosophy - PhD, Bayesian statistical inference at Prague University of Economics and BusinessBachelor of Business Administration - BBA, Business Administration and Management, General, GPA: 3.8, Bachelor of Business Administration - BBA, Business Administration and Management, General, GPA: 3.8 at Texas A&M University - Mays Business School
Czech, English
Github Skills (73)
gcloud10
shiny10
htmlwidgets10
rsconnect10
rshiny10
r9
azure9
fomantic-ui9
hugo-theme9
r69
rstudio9
hugo-template9
r-package9
storage9
website-template8
Programming languages (10)
Github contributions (5)
MichalLauer/Angular-school
Jan 2019 - Mar 2021
High school leaving project
Contributions:14 PRs, 25 pushes, 8 branches in 2 years 2 months
devkitpythonjpa
MichalLauer/bachelor-csgo-analysis
Aug 2021 - Jun 2022
Contributions:97 pushes, 3 branches in 10 months
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