IMSA-CMS/CMSAnalysis
Nov 2024 – Mar 2025
5 Months active
Languages Used
C++ShellPythonBashGitGit IgnoreHTMLXML
Technical Skills
C++Data AnalysisROOTROOT Analysis FrameworkROOT FrameworkShell Scripting
Jayram Palamadai
PROFILE
Jayram Palamadai
Joey developed and maintained advanced data analysis and machine learning workflows for the IMSA-CMS/CMSAnalysis repository over five months, delivering thirteen features and resolving critical bugs. He implemented Boosted Decision Tree inference in C++ and Python, integrated a FilePathMapper for streamlined configuration, and standardized data file management to improve reproducibility. His work included refactoring analysis modules for maintainability, enhancing background modeling with Poisson likelihood fits, and upgrading visualization using ROOT. Joey’s contributions focused on robust scientific computing, repository hygiene, and performance optimization, resulting in more reliable, maintainable pipelines that accelerated high energy physics analyses and improved onboarding for new contributors.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
36Total
Bugs
3
Commits
36
Features
13
Lines of code
506,780
Activity Months5
Work History
March 2025
24 Commits • 8 Features
Mar 1, 2025March 2025 IMSA-CMS/CMSAnalysis monthly summary focusing on delivering robust, business-value features, stabilizing analysis pipelines, and improving repository hygiene. Highlights include enhancements to BDT workflows, DP analysis visualization, API-aligned study refactors, and Condor/script hygiene, enabling faster, more reliable physics analyses and easier maintenance across the team.
24 Commits • 8 Features
Mar 1, 2025March 2025 IMSA-CMS/CMSAnalysis monthly summary focusing on delivering robust, business-value features, stabilizing analysis pipelines, and improving repository hygiene. Highlights include enhancements to BDT workflows, DP analysis visualization, API-aligned study refactors, and Condor/script hygiene, enabling faster, more reliable physics analyses and easier maintenance across the team.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered data file management and standardization for multiRunAnalyzer in IMSA-CMS/CMSAnalysis. This work standardizes data file configuration for NanoAOD and darkPhoton analyses, improves reproducibility, and reduces maintenance burden by consolidating large path lists, removing an outdated Run3 data file, and renaming several files to remove the 'baseline' prefix.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Delivered data file management and standardization for multiRunAnalyzer in IMSA-CMS/CMSAnalysis. This work standardizes data file configuration for NanoAOD and darkPhoton analyses, improves reproducibility, and reduces maintenance burden by consolidating large path lists, removing an outdated Run3 data file, and renaming several files to remove the 'baseline' prefix.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) – Delivered Boosted Decision Tree inference support in IMSA-CMS/CMSAnalysis and completed targeted code cleanup. Key achievements include enabling loading and applying a pre-trained BDT model with configurable inputs and forest structure for on-data classification/regression, integrating the inference pathway into the CMSAnalysis workflow, and tidying the codebase by removing unused imports in multiRunAnalyzer.py to reduce potential side effects and improve maintainability. These efforts enhance model-driven decision support and overall software quality.
4 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) – Delivered Boosted Decision Tree inference support in IMSA-CMS/CMSAnalysis and completed targeted code cleanup. Key achievements include enabling loading and applying a pre-trained BDT model with configurable inputs and forest structure for on-data classification/regression, integrating the inference pathway into the CMSAnalysis workflow, and tidying the codebase by removing unused imports in multiRunAnalyzer.py to reduce potential side effects and improve maintainability. These efforts enhance model-driven decision support and overall software quality.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for IMSA-CMS/CMSAnalysis. Delivered the FilePathMapper integration to centralize variable-to-file path mappings used in data loading and analysis configuration, and refactored HistVariable to rely on the mapper for graph name retrieval. Updated FullAnalysis to use a simplified process creation flow, removing the need for explicit file path mappings during instantiation. These changes reduce configuration complexity, improve maintainability, and set the stage for easier extension and faster onboarding of new contributors.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for IMSA-CMS/CMSAnalysis. Delivered the FilePathMapper integration to centralize variable-to-file path mappings used in data loading and analysis configuration, and refactored HistVariable to rely on the mapper for graph name retrieval. Updated FullAnalysis to use a simplified process creation flow, removing the need for explicit file path mappings during instantiation. These changes reduce configuration complexity, improve maintainability, and set the stage for easier extension and faster onboarding of new contributors.
November 2024
4 Commits • 2 Features
Nov 1, 2024Month: 2024-11 Monthly Summary for IMSA-CMS/CMSAnalysis focusing on delivering robust background modeling, cross-region analysis capability, and Monte Carlo study support. Key work centered on QCD scale-factor studies using Poisson likelihood with simultaneous fits across regions, plus an ABCD study framework and Dark Photon analysis enhancements. A partial refactor for max histvariable was begun to improve maintainability and prepare for upcoming syntax changes.
4 Commits • 2 Features
Nov 1, 2024Month: 2024-11 Monthly Summary for IMSA-CMS/CMSAnalysis focusing on delivering robust background modeling, cross-region analysis capability, and Monte Carlo study support. Key work centered on QCD scale-factor studies using Poisson likelihood with simultaneous fits across regions, plus an ABCD study framework and Dark Photon analysis enhancements. A partial refactor for max histvariable was begun to improve maintainability and prepare for upcoming syntax changes.
November 2024
Activity
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Quality Metrics
Correctness78.8%
Maintainability79.6%
Architecture77.2%
Performance67.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashC++GitGit IgnoreHTMLPythonShellXML
Technical Skills
Algorithm ImplementationAlgorithm ImprovementBoosted Decision Trees (BDT)Build SystemsC++C++ DevelopmentCRABCode CleanupCode RefactoringConfiguration ManagementData AnalysisData ProcessingData VisualizationGitignore ManagementHigh Energy Physics
Repositories Contributed To
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