Martin Smira

Software Developer Analyst at Barclays

Frýdek-Místek, Moravia-Silesia, Czechia
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Summary

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Senior
🎓
Top School
Martin Smira is a software developer analyst and data enthusiast with 12 years of experience blending psychology, Bayesian statistics, and production analytics across finance, travel, and research environments. Currently at Barclays he focuses on R-driven development, building on prior roles that produced an AutoML time-series library for Deutsche Telekom and pricing analytics and R Shiny dashboards at Kiwi.com. His academic background and research placements at the University of Amsterdam underpin deep expertise in Bayesian modeling with Stan/JAGS, including open-source contributions to stan-dev/example-models for cognitive science applications. Comfortable moving models from research into scalable tooling, he combines statistical rigor with practical engineering and a knack for making complex inference accessible to operational teams.
code12 years of coding experience
job7 years of employment as a software developer
bookMaster's degree, Psychology, A, Master's degree, Psychology, A at Masarykova univerzita Brno, Filozofická fakulta
bookPhD, Computational Cognitive Neuroimaging, dropped, PhD, Computational Cognitive Neuroimaging, dropped at University of Birmingham
languagesCzech, English, French, Croatian
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Github Skills (11)

bayesian-statistics10
bayesian10
stan10
statistical-models10
bayesian-data-analysis10
bayesian-inference10
r10
data-analysis10
feature-selection8
multiple-selection8
variable-selection8

Programming languages (4)

RC++GoHTML

Github contributions (5)

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stan-dev/example-models

Aug 2014 - Dec 2016

Example models for Stan
Role in this project:
userData Scientist
Contributions:31 commits, 2 PRs, 5 pushes in 2 years 4 months
Contributions summary:Martin primarily contributed to the development of Bayesian models within the Stan framework. Their work involved implementing and refining various statistical models for cognitive science applications, including latent mixture models for cheating detection and multinomial processing trees. They also worked on model selection, and visualized the results using plots.
stan
neekro/Stan_translate

Aug 2014 - Oct 2014

Contributions:21 commits in 2 months
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