Magdalena Tywoniuk
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolMagdalena Tywoniuk is a data scientist based in Lausanne, Switzerland, who bridges theoretical physics, quantitative finance, and applied analytics to deliver measurable business outcomes. With a PhD in Finance from the University of Geneva and a MSc in Theoretical Physics from ETH Zurich and Ecole Polytechnique, she combines rigorous academic training with practical ML delivery. In her current role at AbbVie, she translates brand challenges into ML-ready solutions, designs statistically rigorous A/B tests, and uses Palantir Foundry to streamline data access and enable global deployment. Her work spans inventory forecasting with neural networks, influencer network analysis, NLP, and dashboard development with Dash and Power BI. Beyond industry, she has balanced research and teaching, including roles as a SAQ instructor and graduate research assistant, and she has presented on neural network forecasting at global data conferences. She thrives at the intersection of theory and production, turning complex data into auditable, scalable insights.
9 years of coding experience
7 years of employment as a software developer
Eidgenössische Technische Hochschule Zürich
German, English, Polish, French, Italian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
parallel6
machine-learning6
python6
optimization6
hyperparameter-optimization4
Programming languages (1)
Github contributions (3)
Mballerina/econ-bst
Mar 2021 - Mar 2021
BibTeX style file for economics.
Contributions:3 pushes in 1 day
latexeconomicsbibtex
zschorli/wmsc_training
Nov 2016 - Nov 2016
Contributions:1 push in 1 day
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