About Noel
I am a Python-focused Data & AI consultant with experience in designing and implementing practical, data-driven solutions for complex technical and business challenges.
I currently work as a Data Science Consultant at KPMG AG, where I support clients in building reliable Python-based systems for analysis, automation, and decision support. My work typically involves structuring problems from first principles, developing maintainable solutions, and validating technical approaches through functional prototypes before scaling.
Alongside my consulting work, I am a Master’s student in Physics, which provides a rigorous analytical foundation and a disciplined approach to modeling, abstraction, and quantitative reasoning. This background is particularly valuable in projects that involve non-trivial data processing, algorithmic logic, or mathematically grounded system design.
In addition, I have contributed to automated AI workflows in scientific research, including pipeline development in the context of drug discovery at Saarland University, and I have experience working across the stack on technical systems that combine backend logic with user-facing components.
I typically engage in projects where ideas need to be clarified, tested, and turned into working technical solutions within a short timeframe. My focus is on clear communication, fast iteration, and delivering results that can be evaluated and extended with confidence.
English
Native or bilingual
German
Native or bilingual
French
Basic
Can work on-site
Saarbrücken (up to 50km), Frankfurt am Main (up to 50km), Berlin (up to 50km)
Experience
- KPMG AGData Science ConsultantCONSULTING AND AUDITSFebruary 2025 - Today (1 year and 5 months)Saarbrücken, GermanyAlongside my Master's degree in physics, I work as a consultant in the Data & AI unit at KPMG AG. I support interdisciplinary teams in designing and developing data-driven solutions for clients across various industries. My responsibilities include:
- Contributing to the development of machine-learning pipelines and analytical software tools
- Conducting exploratory and statistical data analysis for large and heterogeneous datasets
- Supporting research-oriented client projects requiring reproducible methodology and rigorous evaluation
- Saarland UniversityResearch Assistant - AI Pipeline Automation in Drug DevelopmentPHARMACEUTICALS INDUSTRYDecember 2024 - February 2025 (2 months)Saarbrücken, GermanyTowards the end of my Bachelor's studies, I worked as a research assistant in computational drug discovery. I contributed to the development and evaluation of data-driven algorithms for free energy calculations and assisted in generating pipelines for subsequent ML-based analysis. My work included supporting transformer-based ligand embeddings, running computational workflows on HPC clusters, and validating model performance against experimental reference data.
- Kuppinger Cole Analysts AGFrontend DeveloperDIGITAL AND ITSeptember 2021 - August 2024 (2 years and 11 months)Wiesbaden, GermanyAt Kuppinger Cole Analysts AG, I supported the team in the development of internal IT systems with a strong focus on modular and efficient frontend architectures. The role strengthened my software engineering skills, which I apply regularly in scientific programming.
- Developing internal tools with frameworks such as AstroJs and VueJs
- Enhancing maintainability and reliability of existing applications
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Education
- Bachelor of Science (Physics)Saarland University2024Top 5% of class.