Python Developer

The candidate is a professional with experience in Python, C#/.NET, and SQL. She has presented at .NET meetups and has a strong interest in data science and machine learning. She has worked as a data analysis lead and has attended workshops in the field. Her professional experience includes maintenance and development of risk modeling applications for a reinsurance company, as well as work in the healthcare and scientific research sectors. The candidate has certifications in actuarial science, computer science, and deep learning. She has strong communication skills and is fluent in English and German. In her free time, she enjoys watching movies, reading, and participating in sports activities.

2017 - now: Maintenance and development of risk modeling applications. Data export into HDF5 file format. Comparison tool for exports in different file formats. Code review and unit testing. Replatforming of application from C#/.NET to Python. Development of ORM layer and Monte Carlo simulation framework. Integration of code into the PySpark environment. Reconciliation testing. Development of dependency injection framework.

2016-2017: Worked in the MR CSI team. Prepared patches and hotfixes for customers. Solved charm issues and integrated new features. Conducted OS hardening for customers. Reviewed and specified requirements.

2007-2016: Worked at the Hungarian Academy of Science and CERN. Developed a data analysis framework for particle correlation measurement. Conducted Monte Carlo simulations and theoretical research on particle production in high-energy collisions. Developed a particle identification framework. Presented results within collaboration and at international conferences.

Education: Holds a Master's degree in Nuclear and Sub-Nuclear Physics. Completed certifications in actuarial science, computer science, and deep learning.