Giraldi Angela, PhD
Data Scientist
Machine Learning Engineer
- Bringing Italian passion and German precision to pursue data-driven insights -
About me
Welcome! I'm a passionate data scientist with a background in particle physics, currently located in Swizterland.
My academic journey began at the University of Pisa and reached a milestone at DESY in Germany, where I earned my PhD in physics and developed my analytical ability with some of the most complex datasets in the scientific world from the LHC at CERN.I'm always up for a challenge and thrive on the opportunity to learn new things. My background in physics has honed my analytical skills and attention to detail and I am excited to pursue a career in data science. The transition from particle physics to data science has been a natural progression, allowing me to translate my research experience, troubleshooting skills, and strong communication abilities into actionable insights within diverse data landscapes.My dedication to analytical pursuits is paralleled by my commitment to the arts and wellness – whether I'm attending a theater premiere, perfecting my yoga practice, or nurturing my sourdough starter, I find that these experiences enrich my professional life by enhancing my creativity and attention to detail.Scroll down to learn more, and thank you for stopping by!
Education & Awards
| PhD | Physics | 2019-2023 | Universität Hamburg |
| Master | Particle Physics | 2015-2018 | Università di Pisa |
| Bachelor | Physics | 2012-2015 | Università di Pisa |
Winner of a scholarship for developing and applying a multivariate analysis method at LHC at CERN.
Skills & more
My expertise spans across particle physics and data science, with a fusion of in-depth technical know-how and essential soft skills.Here’s a snapshot:
Advanced statistics, experimental design, database management, version control systems, data analysis and predictive modeling
Clear communication, effective problem-solving, collaborative teamwork and continuous learning
Variety of programming languages and Python libraries essential for data manipulation, machine learning, scientific computing, big data technologies, data visualisation
Programming Languages: Python, C++, C, Delphi, Pascal, MATLAB, Gnuplot, Fortran
Data Manipulation and analysis: Pandas, SQL, NumPy, SciPy, Tableau, Dash, PowerBI, Folium, Plotly
Data Visualization: Matplotlib, Seaborn
Machine & Deep Learning: Scikit-learn, TensorFlow, Keras, XGBoost
Scientific Computing: NumPy, SciPy
Statistical Modeling: StatsModels
Web Scraping: Selenium, Beautiful Soup
Version Control & Tools: Git (GitHub, GitLab), Linux/Unix (bash, zsh), Microsoft Office Package
and more...
Physics
As a particle physicist, I have spent more than six years working on the CMS experiment at the Large Hadron Collider at CERN as part of a big international collaboration of over 5000 scientists from over 200 research institutes and 50 countries. Our research focuses on understanding the fundamental nature of matter and energy, with the goal of unlocking the secrets of the universe.In this multicultural environment, I have gained valuable experience collaborating with colleagues from diverse backgrounds and using advanced statistical analysis techniques, including machine learning, to analyze large datasets. My research has mostly focused on the study of Higgs boson properties, and I have contributed to almost 200 peer-reviewed scientific papers. I have also presented my work at national and international conferences. Here a more comprehensive list of my scientific contributions.Visit the ROOT website to learn more about the data analysis tools used in particle physics.
From exploring the fundamental building blocks of the universe to unlocking the power of data -
a journey of discovery and innovation