Marc Gumowski
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMarc Gumowski is a data scientist with nine years of experience applying statistical rigor and machine learning to enterprise problems, currently building ML solutions at UBS in New York. He holds a master’s in statistics from the University of Geneva and combines expertise in deep learning, NLP, numerical optimization, and data visualization to deliver production-grade models and interactive tools. At UBS he has driven multi-million dollar cost savings, improved model reliability through systematic validation frameworks, and supported adoption of AI across business units. Earlier roles at the World Trade Organization and University of Geneva highlight his ability to integrate large, complex datasets and communicate insights via ggplot and D3.js visualizations. He mentors junior talent and balances practical engineering with strong statistical foundations, making him equally comfortable designing experiments or deploying scalable pipelines. Outside standard domains he maintains an eclectic curiosity for sports analytics and graphical representations that turn dense data into compelling narratives.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Statistiques, Master's degree, Statistiques at University of Geneva
French, English, German
Github Skills (8)
react2
d3js2
bubble2
css2
bubble-chart1
rmarkdown1
data-visualization1
rstudio1
Github contributions (5)
MarcGumowski/WorldCup2018TrueSkill
Jun 2018 - Jun 2018
Contributions:35 commits, 30 pushes, 1 branch in 14 days
MarcGumowski/optiTeam
Oct 2017 - Jan 2019
Contributions:128 pushes, 1 branch in 1 year 2 months
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