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
Anusha Prakash developed foundational educational assets for the nikbearbrown/INFO_7390_Art_and_Science_of_Data repository, focusing on data analysis in a pizza sales context. She authored a comprehensive README and two assignments designed to help students model operational efficiency and revenue optimization scenarios. Leveraging Python, pandas, and seaborn, Anusha structured the materials to support repeatable onboarding and submission workflows, centralizing documentation for easier collaboration. While no production bugs were addressed during this period, her work emphasized clarity and reproducibility, enhancing the repository’s instructional value. The depth of her contributions lay in creating reusable, well-documented resources for data analysis education and practice.
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
155 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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