Volodymyr Savchenko
Senior Data Scientist
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolVolodymyr Savchenko is a Senior Data Scientist with 11 years of experience blending scientific research and software engineering to support large-scale astrophysics data analysis and instrument calibration. Based in Lausanne, he leads development and maintenance of research data infrastructures at EPFL and the University of Geneva, with deep expertise in full-stack scientific tooling and distributed analysis workflows for space observatories. His PhD in Astronomy and Astrophysics underpins practical advances in hard X-ray imaging and the public release of a decade-spanning calibration suite for INTEGRAL. An active open-source contributor, he has improved astroquery’s HEASARC module to enable access to newer ISDC datasets and more flexible time-range queries. He brings a pragmatic researcher’s mindset to production systems, translating complex instrument behavior into robust, well-documented software used by international teams.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Astronomy and Astrophysics, Doctor of Philosophy (PhD), Astronomy and Astrophysics at University of GenevaMaster of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Kyiv National Taras Shevchenko University
English, Russian, Ukrainian, French
Github Skills (7)
astroquery10
astropy10
python10
astronomy10
pytest9
apidoc9
api9
Programming languages (21)
Github contributions (5)
astropy/astroquery
Feb 2021 - Mar 2022
Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 reviews, 43 commits, 7 PRs in 1 year 1 month
Contributions summary:Volodymyr primarily contributed to the astroquery library by adding features and fixing issues related to the HEASARC query module. They introduced an option for querying the ISDC (INTEGRAL Science Data Center) version of HEASARC, enabling access to more recent data. The contributions include modifications to the core query functionality, including time-range selection, and improvements to handle different data formats. The user also updated documentation to reflect the changes.
pythondataastropy-affiliatedastropyastronomy
oda-hub/oda-resolver-chart
Sep 2020 - Oct 2024
Contributions:3 reviews, 1 PR, 8 pushes in 4 years 1 month
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