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
Anusuyya developed an initial data analysis capability for cricket match data during a one-month internship, contributing to the AabidMK/CricketIQ_Infosys_Internship_Feb2025 repository. She created a Jupyter Notebook using Python, Pandas, and Seaborn that loads raw cricket data, validates data types, checks for missing values, and computes summary statistics. Her workflow included data cleaning steps and reproducible exploratory data analysis, producing visualizations to support rapid insights into team and player performance. By committing the notebook and assets with clear version control, Anusuyya established a foundation for scalable analytics, though the work focused on setup and did not address bug fixes.
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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