Sebastian Dirndorfer-Data Scientist
Check rate
Experience
Data Scientist
CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Research Associate
Leibniz Institute for Food Systems Biology at the Technical University of Munich
- Generated non-targeted UHPLC-TOF-MS datasets for metabolomics studies, enabling in-depth analysis of metabolic pathways and biomarker discovery
- Performed R-based chemometric analyses on UHPLC-TOF-MS datasets to investigate small molecule conversion in the human metabolism
- Contributed to the establishment of the research group by initiating key projects and collaborations, procuring and commissioning analytical devices, and providing training to operators
Research Associate
Technical University of Munich, Chair of Food Chemistry and Molecular Sensory Science
- Developed a Python-based tool for creating UHPLC-TOF-MS spectral databases from authentic reference measurements of over 1500 natural compounds, incorporating various ionizations and derivatizations
- Conducted rapid screening of food industry side streams to identify and characterize valuable compounds
PhD Candidate
Technical University of Munich, Chair of Food Chemistry and Molecular Sensory Science
- Used activity-guided fractionation of food extracts to identify taste-active compounds in seafood, followed by structure elucidation with UHPLC-TOF-MS and NMR, with subsequent quantification using UHPLC-MS/MS and sensory analyses to determine the contribution of the identified compounds to seafood taste profiles
- Performed non-targeted UHPLC-TOF-MS screening on diverse seafood samples and applied machine learning techniques to the acquired data, enabling the discovery of novel taste compounds
- Presented results at conferences and university events, and contributed to teaching through seminars and hands-on lab trainings for students
Industry experience
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Experienced in Education, Food and Beverage, Chemical, and Biotechnology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Research and Development, Information Technology, and Business Intelligence.
Summary
Ph.D. analytical chemist (Dr. rer. nat., food chemistry) specializing in data science & chemometrics. Extensive experience in multivariate analysis of complex spectral and mass spectrometry data, and in building robust ML pipelines in Python and R.
Skills
- Chemometrics
- Data Science
- Python
- R
- Multivariate Analysis
- Doe
- Devops
- Data Engineering
- Mlops
- Software Development
- Unit Testing
- Pandas
- Polars
- Numpy
- Scikit-Learn
- Scipy
- Tensorflow
- Rdkit
- Django
- Jupyter
- Matplotlib
- Plotly
- Shiny
- Ggplot2
- Git
- Gitlab
- Github
- Ci/Cd
- Docker
- Linux
- Sql
- Nosql
- Aws
- Azure
- Gmp
- Sop
Languages
Education
Technical University of Munich
Dr. rer. nat. / Ph.D. · Food Chemistry/Analytical Chemistry · Freising, Germany
Technical University of Munich
First state examination (final grade 1.7) · Food Chemistry · Freising, Germany
Certifications & licenses
IBM Data Engineering Professional Certificate
IBM
Google Data Analytics Certificate
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Sebastian is based in Munich, Germany.
Sebastian speaks the following languages: German (Native), English (Advanced).
Sebastian has at least 8 years of experience. During this time, Sebastian has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 2 years and 1 month. Note that Sebastian may not have shared all experience and actually has more experience.
Based on recent experience, Sebastian would be well-suited for roles such as: Data Scientist, Research Associate, PhD Candidate.
Sebastian's most recent position is Data Scientist at CLADE GmbH.
In recent years, Sebastian has worked for CLADE GmbH and Leibniz Institute for Food Systems Biology at the Technical University of Munich.
Sebastian is most experienced in industries like Education, Food and Beverage, and Chemical. Sebastian also has some experience in Biotechnology.
Sebastian is most experienced in business areas like Research and Development, Information Technology, and Business Intelligence.
Sebastian has recently worked in industries like Chemical, Biotechnology, and Education.
Sebastian has recently worked in business areas like Research and Development, Business Intelligence, and Information Technology.
Sebastian holds a Doctorate in Food Chemistry/Analytical Chemistry from Technical University of Munich.
Sebastian has 2 certificates. These include: IBM Data Engineering Professional Certificate and Google Data Analytics Certificate.
The availability of Sebastian needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 26 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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