Sara Cerioli
Mannheim
Übersicht
1
1
Certification
9
9
years of professional experience
Berufserfahrung
Senior Data Scientist
Mars GmbH
Verden (Aller)
2022.02 - Current
- Create a Product Performance predictive model using chemical volatiles and consumer insight data
- Implement an ETL pipeline followed by quantitative statistical methods for robust findings in internal chemical analysis laboratory
- Support of leadership team in developing the Data Strategy within R&D Pet Nutrition
digitalization - Cross-functional statistical support in data interpretation and DoE planning for different teams, ranging from Material Science to Flavour Chemistry.
Data Scientist
ADFERENCE
Lüneburg
2019.06 - 2022.02
- Design and test of new viable statistical models on large scale databases
- Evaluation, development and improvement of statistical algorithms
- Structuring of the group software, rewriting of individual code sets into R-packages
Research Assistant
University of Hamburg
Hamburg
2017.08 - 2019.01
- Characterization of Silicon Photomultipliers after radiation damage
- Development of MonteCarlo model for data simulations
Ausbildung
Master of Science - Physics
University of Milan
Milan 2014 - 2017
University of Milan
Milan 2010 - 2014
Kompetenzen
- Data Modelling & Machine Learning Algorithms (among others: Hierarchical Models, PCA, Compositional Data Analysis)
- Bayesian and Frequentist Statistics
- Hypothesis Testing,
- Data-driven decision-making
- Python, R programming
- Git, Mercurial version control systems
Languages
Italian
First language
English
Advanced
C1
German
Upper intermediate
B2
Russian
Intermediate
B1
Zertifizierung
- Six Sigma Green Belt (CSSGB) by MTS Consulting Partner
- AWS Certified Cloud Practitioner
Publications
- Journals
S. Cerioli and A. Formozov, 2024, More on the influence of gender equality on gender differences in economic preferences, In Journal of Economics and Statistics, https://doi.org/10.1515/jbnst-2022-0072 - Proceedings
S. Cerioli and E. Garutti and R. Klanner and S. Martens and J. Schwandt and M. Zvolský, 2020, Analysis methods for highly radiation-damaged SiPMs, In Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 958, p. 1627-1629, https://www.sciencedirect.com/science/article/pii/S0168900219311945
Hobbys
- Languages - Communication is everything
- Data Analysis - Give me data and I will analyse it
- Sport - Horse-back riding, weight lifting
- Divulgation - I love explaining science to anyone interested
Zeitleiste
Senior Data Scientist
Mars GmbH
2022.02 - Current
Data Scientist
ADFERENCE
2019.06 - 2022.02
Research Assistant
University of Hamburg
2017.08 - 2019.01
University of Milan
2010 - 2014
Master of Science - Physics
University of Milan
2014 - 2017