Yanick Schraner
Leiter KI at Statistisches Amt Des Kantons Basel-stadt
Basel, Basel-City, Switzerland
Summary
👤
Senior🎓
Top SchoolYanick Schraner is a Swiss data scientist and AI leader with a decade of experience, currently heading the AI unit at the Statistisches Amt des Kantons Basel-Stadt and teaching reinforcement learning at FHNW. He led development of what his team calls the world's best Swiss German ASR, pushing wav2vec 2.0-based models from 46.0 to 72.2 BLEU and building the largest Swiss German corpora (200h and 350h) to enable production transcription pipelines. His work spans the full ML lifecycle—from automated data crawling and alignment to model fine-tuning and deployment—and includes rigorous comparisons of unsupervised, self-supervised and supervised approaches for low-resource ASR. A two-time NeurIPS MineRL top-three finisher, he combines research-caliber results with practical automation that accelerated customs declaration and media transcription projects. Confident at translating client needs into project specs, he pairs academic rigor with hands-on engineering to move novel speech and RL models into impact.
10 years of coding experience
1 year of employment as a software developer
Informatiker EFZ, Informatiker EFZ at Gewerblich Industrielle Berufsschule MuttenzMaster of Science - MS, Data Science, 5.2 of 6.0, Master of Science - MS, Data Science, 5.2 of 6.0 at Fachhochschule Nordwestschweiz FHNW
Github Skills (30)
keras9
hyperparameter-tuning9
collaboration8
api8
data-versioning8
reinforcement-learning8
pytorch8
visualization7
poker7
machine-learning7
tensorflow7
ai7
hyperparameter-optimization7
deep-learning7
python7
Programming languages (5)
Github contributions (5)
swiss-german-speech-to-text/espnet
Feb 2022 - Mar 2022
End-to-End Speech Processing Toolkit
Contributions:123 pushes, 2 branches in 1 month
end-to-endasrspeech-to-textspeech-recognitionspeech-synthesis
YanickSchraner/rl-on-trains-workshop
Jan 2021 - Sep 2021
Contributions:25 commits, 1 PR, 34 pushes in 8 months
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