Daniel Meyer
Lead Data Scientist @Eraneos
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WORK HISTORY
Lead Data Scientist @Eraneos
Highlights- Creating “TREX”, technical repetitives examination: AI-enabled solution that analyzes defects from e.g. technical logbook entries and detects repetitive defect cluster using advanced NLP / GenAI techniques and specifically trained and finetuned (language) models to provide structured information.
EDUCATION
University of Bayreuth
Bachelor of Science (B.Sc.), Business Administration
University of Bayreuth
Master of Science (M.Sc.), Business Administration
Shanghai University
Summer School, Business Administration
University of Technology Sydney
Master, Business Administration
ABOUT DANIEL MEYER
Blending a passion for machine learning and natural language processing, I love to explore innovation and smarter decision making with the help of data science. My demonstrated expertise in generative ai and multi modal / large language models, through several pioneering projects, has positioned me at the cutting edge of industry advancements.My background in business finally allows me to turn this fascination not only into performant code, but also into solutions for data-driven actions. Years of management consulting experience across different industries provide an ideal foundation to connect the dots between data, technology and business application.
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