Lucas Baier

Lucas Baier Email and Phone Number

GenAI Architect (Customer Success Management) @ IBM
Karlsruhe, BW, DE
Lucas Baier's Location
Karlsruhe, Baden-Württemberg, Germany, Germany
Lucas Baier's Contact Details

Lucas Baier work email

Lucas Baier personal email

n/a
About Lucas Baier

I am a Research Associate at the Karlsruhe Service Research Institute (KSRI), holding a M. Sc. in Industrial Engineering and Management from Karlsruhe Institute of Technology (KIT). Currently, I am exploring the potential of Machine Learning in the healthcare sector, with a focus on developing prototypical solutions. I acquired profound Machine Learning skills as well as an understanding of related business problems in multiple projects, e.g., in cooperation with ABB, where I successfully developed an approach on the topic of "Fault prediction of chemical processes". Today, I leverage my knowledge of topics like, e.g., dynamic time warping, classification algorithms, statistical performance measurements, to explore new fields of application. Currently, I am researching the application of advanced machine learning methods to improve work routines in the healthcare sector, e.g., reduce patients' waiting times. I am convinced that the application of modern quantitative methods has large, untapped potential in this area.

Lucas Baier's Current Company Details
IBM

Ibm

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GenAI Architect (Customer Success Management)
Karlsruhe, BW, DE
Website:
ibm.com
Employees:
332208
Lucas Baier Work Experience Details
  • Ibm
    Genai Architect (Customer Success Management)
    Ibm
    Karlsruhe, Bw, De
  • Ibm
    Data Scientist
    Ibm Nov 2021 - Present
    Ehningen, Baden-Württemberg, Deutschland
  • Karlsruher Institut Für Technologie (Kit)
    Research Associate
    Karlsruher Institut Für Technologie (Kit) Sep 2017 - Oct 2021
    Karlsruhe Und Umgebung, Deutschland
    Researche Associate and PhD candidate in the research group Digital Service Innovation (DSI) at the Karlsruhe Service Research Institute (KSRI) in the area of Advanced Analytics
  • Abb
    Master Thesis In Data Science
    Abb Oct 2016 - May 2017
    Ladenburg
    A data-driven approach for the prediction of faults in a chemical batch process
  • Siemens Management Consulting
    Intern
    Siemens Management Consulting Oct 2015 - Dec 2015
    Munich
    Coordinated an internal project to improve the collaboration with internal suppliers in the Wind Power BusinessPrepared and chaired several workshops with senior customer team
  • Karlsruher Institut Für Technologie (Kit)
    Teaching Assistant For Statistics
    Karlsruher Institut Für Technologie (Kit) Apr 2015 - Aug 2015
  • Bosch
    Supply Chain Management Intern
    Bosch Apr 2014 - Aug 2014
    Karlsruhe
    Developed a simulation tool in Excel VBA to illustrate the logistic planning processPerformed extensive data analysis with MS Access and SAP-BW and derived corresponding targets in a cross-division project
  • Karlsruher Institut Für Technologie (Kit)
    Teaching Assistant For Statistics
    Karlsruher Institut Für Technologie (Kit) Apr 2013 - Feb 2014
    Karlsruhe Und Umgebung, Deutschland
  • Deutsche Bank
    Global Technology Intern
    Deutsche Bank Aug 2012 - Oct 2012
    Eschborn
    Developed a consolidated reporting tool in SAP
  • Opel
    Intern
    Opel Mar 2010 - Apr 2010
    Rüsselsheim
    Learned manufacturing methods in the automobile sector

Lucas Baier Education Details

Frequently Asked Questions about Lucas Baier

What company does Lucas Baier work for?

Lucas Baier works for Ibm

What is Lucas Baier's role at the current company?

Lucas Baier's current role is GenAI Architect (Customer Success Management).

What is Lucas Baier's email address?

Lucas Baier's email address is lu****@****kit.edu

What schools did Lucas Baier attend?

Lucas Baier attended Karlsruher Institut Für Technologie (Kit), Universidad Politécnica De Madrid, Karlsruher Institut Für Technologie (Kit).

Who are Lucas Baier's colleagues?

Lucas Baier's colleagues are Johana Vera Yaguaro, Athie Moore, Evan Munk, Ratul Ranjan, Ayushi Verma, Ashwini Sugumaran, Carmen Paracuellos.

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