Philipp Bäßler, M.Sc.

physics and data analysis

Hi! I'm Philipp Bäßler, physicist and data scientist, specializing in statistical analysis and modeling with proficiency in the programming language R. My expertise lies in extracting valuable insights from complex data, particularly within semiconductor manufacturing and high-volume production. With a background in physics, I bring strong abstraction ability and robust problem-solving skills to the table. I excel in unraveling intricate data structures to drive impactful outcomes in the field of data analytics. Driven by a genuine passion for data and software, I am dedicated to continually exploring and leveraging their potential to create innovative solutions and drive excellence in my work.


since 04/2022

Data Analysis Engineer

Infineon Technologies AG, Regensburg

Data analysis expert in the global product engineering department.

Development of innovative statistical methods and data analysis solutions. Coaching, mentoring, and training of employees. Evaluation and improvement of data analysis tools and software. Consulting and supporting departments and domain experts with complex data analyses.

06/2017 - 03/2022

Product Engineer

Infineon Technologies AG, Regensburg

Product responsible for BiCMOS sensors and cutting-edge silicon microphones.

Focus on data analysis and statistical modelling. Consultant in overarching data science topics in the local product engineering departments.

03/2016 - 05/2017

Master's Degree Candidate

Infineon Technologies AG, Regensburg

Fabrication and characterization of thermally reduced chemically derived graphene oxide sheets and thin films

03/2015 - 02/2016

Working Student

Infineon Technologies AG, Regensburg

Development of databases for tracking leakages in the compressed air supply system.


  • 08/2020 - 07/2021
Data Science Specialization
Johns Hopkins University

Non-credit course provided via coursera.org with main content:

  • advanced statistics
  • data analysis with R
  • statistical modeling
  • applied machine learning
  • dashboards & visualization
  • 06/2021 - 12/2021
Software Development in R
Johns Hopkins University

Non-credit course provided via coursera.org with main content:

  • advanced R programming
  • developing R packages
  • building data visualization tools
  • building responsive web applications
  • continuous integration
  • 10/2011 - 05/2017
Physics M.Sc.
Univeristy of Regensburg

Focus of studies:

  • semiconductor physics
  • physics of nanostructures
  • light-matter-interaction
  • scientific computing
  • computer science