AabidMK/CricketIQ_Infosys_Internship_Feb2025
Feb 2025 – Feb 2025
1 Month active
Languages Used
Python
Technical Skills
Data AnalysisData PreprocessingData VisualizationJupyter NotebookPandasSeaborn
Anusuyyagj
PROFILE
Anusuyyagj
Developed an initial data analysis capability for cricket match data as part of the CricketIQ Infosys Internship, focusing on reproducible analytics within the AabidMK/CricketIQ_Infosys_Internship_Feb2025 repository. Built a Jupyter Notebook using Python, Pandas, and Seaborn to load, validate, and preprocess raw cricket data, ensuring data quality through checks for missing values and type validation. Produced summary statistics and visualizations to support rapid business insights into team and player performance. The work established a scalable workflow for future analyses, emphasizing data cleaning, exploratory data analysis, and version control to enable reliable, data-driven decision-making for cricket analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
634
Activity Months1
Your Network
6 peopleSame Organization
@sonatech.ac.in1
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for CricketIQ Infosys Internship focused on delivering an initial data analysis capability for cricket match data and establishing a reproducible analytics workflow. The work lays the foundation for rapid data-driven insights into team and player performance.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for CricketIQ Infosys Internship focused on delivering an initial data analysis capability for cricket match data and establishing a reproducible analytics workflow. The work lays the foundation for rapid data-driven insights into team and player performance.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData PreprocessingData VisualizationJupyter NotebookPandasSeaborn
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