nikbearbrown/INFO_7390_Art_and_Science_of_Data
Feb 2026 – Feb 2026
1 Month active
Languages Used
Python
Technical Skills
data analysisdata visualizationmatplotlibpandasseaborn
Anusha Prakash
PROFILE
Anusha Prakash
Contributed to the nikbearbrown/INFO_7390_Art_and_Science_of_Data repository by developing foundational educational materials centered on pizza sales data analysis. The work involved creating a comprehensive README and two assignments designed to help students model operational efficiency and revenue optimization scenarios. Leveraging Python along with pandas, matplotlib, and seaborn, the developer structured clear documentation and a repeatable submission workflow to streamline onboarding and collaboration. While no production bugs were addressed during this period, the primary focus was on enhancing instructional assets and centralizing course content, resulting in improved accessibility and consistency for future contributors and students engaging with the repository.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,326,122
Activity Months1
Your Network
159 peopleShared Repositories
18
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for nikbearbrown/INFO_7390_Art_and_Science_of_Data. Focused on delivering foundational educational content and improving the repository’s onboarding for data analysis in a pizza sales context. Delivered a comprehensive README and two data analysis assignments aimed at operational efficiency and revenue optimization. This work enhances business value by enabling students to model real-world pizza sales scenarios, while establishing a repeatable documentation and submission workflow. No production bug fixes were logged this month; the primary impact was a strengthened instructional asset and improved collaboration. Commit reference: c0ef2549ec954665ce8479136b85836ec4028174 (Studentsubmission (#63); pushed README; Abisha Submission; added assignment1).
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for nikbearbrown/INFO_7390_Art_and_Science_of_Data. Focused on delivering foundational educational content and improving the repository’s onboarding for data analysis in a pizza sales context. Delivered a comprehensive README and two data analysis assignments aimed at operational efficiency and revenue optimization. This work enhances business value by enabling students to model real-world pizza sales scenarios, while establishing a repeatable documentation and submission workflow. No production bug fixes were logged this month; the primary impact was a strengthened instructional asset and improved collaboration. Commit reference: c0ef2549ec954665ce8479136b85836ec4028174 (Studentsubmission (#63); pushed README; Abisha Submission; added assignment1).
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
data analysisdata visualizationmatplotlibpandasseaborn
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