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Sebastian Dirndorfer

Data Scientist

Sebastian Dirndorfer
Munich, Germany

Experience

May 2022 - Oct 2025
3 years 6 months
Esslingen, Germany

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
Jan 2021 - Jan 2022
1 year 1 month
Freising, Germany

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
May 2020 - Dec 2020
8 months
Freising, Germany

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
Feb 2017 - May 2020
3 years 4 months
Freising, Germany

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).

Education
Food and Beverage
Chemical
Biotechnology

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).

Research and Development
Information Technology
Business Intelligence

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

German
Native
English
Advanced

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

Google

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Sebastian based?

Sebastian is based in Munich, Germany.

What languages does Sebastian speak?

Sebastian speaks the following languages: German (Native), English (Advanced).

How many years of experience does Sebastian have?

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.

What roles would Sebastian be best suited for?

Based on recent experience, Sebastian would be well-suited for roles such as: Data Scientist, Research Associate, PhD Candidate.

What is Sebastian's latest experience?

Sebastian's most recent position is Data Scientist at CLADE GmbH.

What companies has Sebastian worked for in recent years?

In recent years, Sebastian has worked for CLADE GmbH and Leibniz Institute for Food Systems Biology at the Technical University of Munich.

Which industries is Sebastian most experienced in?

Sebastian is most experienced in industries like Education, Food and Beverage, and Chemical. Sebastian also has some experience in Biotechnology.

Which business areas is Sebastian most experienced in?

Sebastian is most experienced in business areas like Research and Development (R&D), Information Technology (IT), and Business Intelligence.

Which industries has Sebastian worked in recently?

Sebastian has recently worked in industries like Chemical, Biotechnology, and Education.

Which business areas has Sebastian worked in recently?

Sebastian has recently worked in business areas like Research and Development (R&D), Business Intelligence, and Information Technology (IT).

What is Sebastian's education?

Sebastian holds a Doctorate in Food Chemistry/Analytical Chemistry from Technical University of Munich.

Does Sebastian have any certificates?

Sebastian has 2 certificates. These include: IBM Data Engineering Professional Certificate and Google Data Analytics Certificate.

What is the availability of Sebastian?

Sebastian will be available from March 2026.

What is the rate of Sebastian?

Sebastian's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Sebastian?

To hire Sebastian, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

1200
900
600
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Market avg: 940-1100 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.