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
During April 2025, AabidMK developed end-to-end prediction features for the CricketIQ_Infosys_Internship_Feb2025 repository, focusing on a notebook-based cricket match outcome predictor with a user-facing UI. Leveraging Python, Pandas, and Scikit-learn, AabidMK implemented feature engineering, integrated pre-trained models and encoders, and designed a prediction flow that outputs winner or loser probabilities. The work emphasized reproducibility and onboarding efficiency by enhancing documentation, reorganizing notebook paths, and updating the README to clarify project goals and usage. Although no bugs were fixed, the contributions improved project maintainability and collaboration hygiene, demonstrating depth in machine learning pipelines and project structure optimization.
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
Loading activity data...
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
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline