Sebastian Dirndorfer
Data Scientist
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
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Education (5 years), Food and Beverage (4 years), Chemical (3.5 years), and Biotechnology (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (8.5 years), Information Technology (4 years), and Business Intelligence (3.5 years).
Summary
Doctorate in analytical chemistry (Dr. rer. nat., Food Chemistry) with a focus on Data Science & Chemometrics. Several years of experience in multivariate analysis of complex spectral and mass spectrometry data and in developing 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
Profile
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