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Daniel Schweizer

Research

Fraunhofer | Germany

Technologies

Data conductor, orchestrating the symphony of insights with precision.

My Work

Take a look at my latest work.

course

Intermediate Importing Data in Python

course

Unsupervised Learning in Python

course

Intermediate Importing Data in Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Unsupervised Learning in Python
Intermediate Importing Data in Python
Machine Learning with Tree-Based Models in Python
MLOps Concepts

My Work Experience

Where I've interned and worked during my career.

Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut, | Nov 2024 - Present

Research Assistant

N/A

EMI | Feb 2022 - Present

Research Assistant

N/A

Karlsruhe Institute of Technology (KIT) | Dec 2014 - May 2021

Hydrogeologist

3D geological modeling with GoCAD/SKUA. Applying the concept of information entroy to assess model uncertainty and evaluate model dissimilarity with distance measures (e.g. Jaccard and City-block). Data analysis in R. Hydrogeochemical modeling with Modflow, Mt3dms and PHREEQC. Model calibration and uncertainty analysis with PEST. Data preparation and analysis in Python. Tidal Subsurface Analysis (TSA): Estimating hydraulic and poroelastic subsurface properties from standard pressure records. Developing and testing methods for extracting harmonic tidal components from non-uniformly sampled times-series. Co-development of user-oriented Python package.
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My Education

Take a look at my formal education

Master of Science - MS, Environmental Science  · (SeptemberUniversität Wien | 2014
Bachelor of Science - BS, Forestry and Environmental Science  · (OctoberThe University of Freiburg | 2012

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