I'm a particle physics doctorate with 6+ years of experience analyzing data using Python, C++ and R. After my PhD I have become a Data Engineer with focus on cloud technologies and IaC.
Title: "Inclusive low-mass Drell-Yan cross-section at LHCb"
Using automatically retrieved templates to distinguish signal from multiple sources of background
simultaneously.
Teaching both introductory physics exercise classes as well as classes on data analysis.
Skills/Tools/Technologies
- Python, Numpy, Pandas, Matplotlib, ROOT, Data Visualisation, Teaching
Title: "Measurement of direct CP-violation in prompt D0→K−K+ and D0→π−π+ decays at
LHCb"
Using two-dimensional maximum-likelihood fits to distinguish signal from background
in a high-statistics dataset collected by LHCb in 2011 and 2012 (C++, ROOT).
Statistical analysis of systematic effects on the measurement and visualization of the results (Python).
Skills/Tools/Technologies
- C++, ROOT, Python
Title: "Zeitintegriertes Verhältnis von D0→K+π− zu D0→K−π+ Zerfällen
bei LHCb"
Using two-dimensional maximum-likelihood fits to distinguish signal from background
in a high-statistics dataset collected by LHCb in 2011 and 2012.
Skills/Tools/Technologies
- C++, ROOT
General education with a focus on mathematics and physics.
[https://www.physik.uzh.ch/~python/]
Teaching Python to PhD students and post-docs in science. The programme included "Best practices", "Git", "Object-Oriented-Programming", "Test, Debug, Profile",
"Pandas", "Data Structures", "Scientific Analysis", "Cython/C++", "Hardware-assisted Speed-up Techniques", "Visualisation and More"
In this years course I presented the data visualisation and the OOP units.
Skills/Tools/Technologies
- Python, Numpy, Pandas, Matplotlib, Data Visualisation