Valentin Danchev
Senior Lecturer (Associate Professor) In Business Analytics
England, United Kingdom
Summary
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Top SchoolValentin Danchev is a Senior Lecturer (Associate Professor) in Business Analytics at Queen Mary University of London and a Fellow of the Software Sustainability Institute, combining eight years of academic experience across Oxford, Chicago, Stanford and Essex. He applies computational social science, network analysis and reproducible-research practices to interrogate transparency, bias and reproducibility in data-intensive AI and machine learning applications for social and health sciences. His work spans applied studies of health misinformation and migration networks as well as methodological contributions to open, reproducible workflows and teaching materials that make reproducible data science accessible to practitioners. Trained with a DPhil from Oxford and embedded in mathematical network research, he uniquely bridges social-science theory, rigorous computation, and practical open-source tooling.
7 years of coding experience
3 years of employment as a software developer
DPhil, Development Studies, DPhil, Development Studies at University of Oxford
Github Skills (29)
python8
science8
data-management8
machine-learning7
pandas7
data-visualization6
data-analysis6
open-source6
journal6
data-science6
medicine3
educational-technology3
leader3
computational-science2
reproducible-science2
Programming languages (2)
Github contributions (5)
valdanchev/reproducible-data-science-python
Jun 2021 - Jan 2023
Reproducible Data Science: Accessible Data Analysis with Open Source Python Tools and Real-World Data
Contributions:4 releases, 177 commits, 148 pushes in 1 year 7 months
data-analysispythonsciencedata-managementdata-science
valdanchev/dynamic-documents-with-jupyter-notebook
Sep 2021 - Jan 2022
Contributions:9 commits, 8 pushes, 1 branch in 4 months
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