nikbearbrown/INFO_7390_Art_and_Science_of_Data
Dec 2024 – Dec 2024
1 Month active
Languages Used
Jupyter Notebook
Technical Skills
Causal InferenceData ScienceEducational Content Creation
Dipenpatel3
PROFILE
Dipenpatel3
Dipen Patel developed foundational educational content for the INFO_7390_Art_and_Science_of_Data repository by creating a new Jupyter Notebook focused on causal inference. The notebook, designed for the Fall 2024 curriculum, offers a structured, hands-on crash course that supports student learning in data science and causal inference concepts. Patel applied skills in educational content creation and data science, ensuring the material is reusable and clearly organized for onboarding and teaching. The work addressed curriculum expansion needs without introducing bugs, and all changes were committed with clear, descriptive messages to maintain traceability. The contribution deepened the repository’s coverage of causal inference topics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,213
Activity Months1
Your Network
133 people
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered foundational educational content for the causality track by adding a new Jupyter Notebook (crash_course_casuality_Dipen_Patel.ipynb) to the Causal_Inference/Fall_2024 module. This strengthens the repository's Fall 2024 curriculum and provides hands-on learning material for students. No major bugs reported this month; all work focused on content creation and curriculum expansion. The change is well-scoped and ready for onboarding and teaching use.
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered foundational educational content for the causality track by adding a new Jupyter Notebook (crash_course_casuality_Dipen_Patel.ipynb) to the Causal_Inference/Fall_2024 module. This strengthens the repository's Fall 2024 curriculum and provides hands-on learning material for students. No major bugs reported this month; all work focused on content creation and curriculum expansion. The change is well-scoped and ready for onboarding and teaching use.
December 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter Notebook
Technical Skills
Causal InferenceData ScienceEducational Content Creation
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