Quantco/glum
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingbenchmarkingdata analysisdata generationmachine learning
DavidEiglspergerQC
PROFILE
Davideiglspergerqc
Worked on the Quantco/glum repository to enhance data integrity and benchmarking reliability within Python-based data generation and analysis workflows. Addressed critical issues by eliminating data leakage in housing data generation, ensuring that target columns were properly excluded before dataset return, and resolved type annotation errors to improve code quality. Updated the benchmarking process to maintain compatibility with newer h2o versions, streamlining the workflow for reproducibility and maintainability. Focused on Python programming, benchmarking, and data analysis, the work emphasized robust typing and code structure improvements, resulting in more reliable downstream evaluation and a cleaner, more maintainable codebase for ongoing machine learning development.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
32,329
Activity Months1
Your Network
36 peopleWork History
January 2026
2 Commits
Jan 1, 20262026-01 Quantco/glum monthly summary: Focused on data integrity, correctness, and benchmarking reliability. Delivered critical fixes to eliminate data leakage in housing data generation and updated the benchmarking workflow to be compatible with newer h2o versions, with improvements to code structure and typing.
2 Commits
Jan 1, 20262026-01 Quantco/glum monthly summary: Focused on data integrity, correctness, and benchmarking reliability. Delivered critical fixes to eliminate data leakage in housing data generation and updated the benchmarking workflow to be compatible with newer h2o versions, with improvements to code structure and typing.
January 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingbenchmarkingdata analysisdata generationmachine learning
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