AabidMK/CricketIQ_Infosys_Internship_Feb2025
Apr 2025 – Apr 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisExploratory Data AnalysisJupyter NotebookPandas
arpitha-gaddam
PROFILE
Arpitha-gaddam
Developed a data exploration and cleaning setup for cricket datasets within the CricketIQ_Infosys_Internship_Feb2025 repository, focusing on making analytics workflows more robust and reproducible. Built an exploratory data analysis notebook using Jupyter Notebook and Python, implementing data loading, descriptive statistics, and null value checks for both deliveries.csv and matches.csv. Added targeted data cleaning steps to address missing values, ensuring datasets were analytics-ready. Included a placeholder matches.csv file to facilitate pipeline prototyping and faster iteration. Leveraged Pandas for efficient data manipulation, establishing a reliable foundation for future cricket data insights and supporting better decision-making through improved data quality.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,207
Activity Months1
Your Network
5 peopleShared Repositories
5
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 focused on making CricketIQ analytics-ready by delivering a data exploration and cleaning setup for cricket datasets. Implemented an exploratory data analysis notebook (EDA.ipynb), data loading, descriptive statistics, and null value checks for deliveries.csv and matches.csv. Added data cleaning steps to address missing values and included a placeholder matches.csv to enable pipeline prototyping. All changes were committed to the CricketIQ_Infosys_Internship_Feb2025 repository (Add files via upload). This work establishes a solid foundation for reliable analytics, faster iteration, and better decision support for cricket data insights.
1 Commits • 1 Features
Apr 1, 2025April 2025 focused on making CricketIQ analytics-ready by delivering a data exploration and cleaning setup for cricket datasets. Implemented an exploratory data analysis notebook (EDA.ipynb), data loading, descriptive statistics, and null value checks for deliveries.csv and matches.csv. Added data cleaning steps to address missing values and included a placeholder matches.csv to enable pipeline prototyping. All changes were committed to the CricketIQ_Infosys_Internship_Feb2025 repository (Add files via upload). This work establishes a solid foundation for reliable analytics, faster iteration, and better decision support for cricket data insights.
April 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisExploratory Data AnalysisJupyter NotebookPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline