Sandro Luck

Senior Data Scientist

Zurich, Zurich, Switzerland
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Summary

👤
Senior
🎓
Top School
Sandro Luck is a Senior Data Scientist with 11 years of experience building production ML systems and GenAI tools at Switzerland's largest e-commerce company, Digitec Galaxus. He specializes in NLP and document intelligence, having led models that process millions of financial documents yearly with >95% accuracy and continuous delivery-date prediction systems for millions of orders. Equally comfortable architecting data platforms and shipping code, he co-developed a GenAI chat interface used daily by customer agents and helped maintain company-wide ML infrastructure. His background in full-stack development and test automation is reflected in open-source contributions improving robustness of the music21 computational musicology toolkit. A certified Scrum Master and former MSc mentor, Sandro blends hands-on engineering with technical leadership across cross-functional teams.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Zurich
bookBündner Kantonsschule Chur
bookMaster of Science - MS Informatics, Master of Science - MS Informatics at ETH Zürich
languagesGerman, English, romansh
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Github Skills (4)

unit-test10
unit-testing10
python10
testing10

Programming languages (5)

JavaJavaScriptJupyter NotebookRubyPython

Github contributions (5)

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cuthbertLab/music21

Nov 2019 - Nov 2019

music21 is a Toolkit for Computational Musicology
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:12 commits, 1 PR, 3 comments in 1 day
Contributions summary:Sandro primarily focused on improving the testing of the `music21` toolkit, specifically within the `analysis.windowed` module. Their contributions involve identifying and fixing failing tests, adding new test cases to cover different scenarios, and ensuring the code's accuracy. The changes demonstrate a focus on comprehensive testing and addressing potential issues related to data processing and windowing calculations. These updates ensure the robustness and reliability of the analysis module.
dtwpythonmusicologymusic21music
SandroLuck/SCGenerator

Apr 2017 - Aug 2017

Contributions:44 commits, 3 pushes in 3 months
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Sandro Luck - Senior Data Scientist