AabidMK/CricketIQ_Infosys_Internship_Feb2025
Apr 2025 – Apr 2025
1 Month active
Languages Used
BashJupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData ScienceData VisualizationDocumentationFile ManagementJoblib
Vignesh
PROFILE
Vignesh
Worked on the CricketIQ_Infosys_Internship_Feb2025 repository to deliver an end-to-end cricket match outcome prediction feature, combining feature engineering, pre-trained model integration, and a user-facing prediction flow that outputs win probabilities. Focused on maintainability by enhancing project documentation, reorganizing notebook paths, and updating the README to clarify goals, UI usage, and onboarding steps. Leveraged Python, Pandas, and Scikit-learn to build the machine learning pipeline and streamline data processing within Jupyter Notebooks. Prioritized reproducibility and collaboration by maintaining structured commits and clear documentation, enabling efficient onboarding and future development without addressing major bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
2
Lines of code
783
Activity Months1
Your Network
5 peopleWork History
April 2025
10 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for CricketIQ repository (AabidMK/CricketIQ_Infosys_Internship_Feb2025). Focused on delivering end-to-end prediction features and improving project maintainability through documentation and structure improvements. No major bug fixes recorded this month; emphasis on business value, reproducibility, and onboarding efficiency.
10 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for CricketIQ repository (AabidMK/CricketIQ_Infosys_Internship_Feb2025). Focused on delivering end-to-end prediction features and improving project maintainability through documentation and structure improvements. No major bug fixes recorded this month; emphasis on business value, reproducibility, and onboarding efficiency.
April 2025
Activity
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Quality Metrics
Correctness98.0%
Maintainability98.0%
Architecture98.0%
Performance98.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashJupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData ScienceData VisualizationDocumentationFile ManagementJoblibMachine LearningNumPyPandasProject ManagementProject SetupPythonScikit-learnStreamlit
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