nikbearbrown/INFO_7390_Art_and_Science_of_Data
Feb 2026 – Feb 2026
1 Month active
Languages Used
Python
Technical Skills
Jupyter Notebookcausal inferencedata analysisdata visualizationmachine learning
Akshit Verma
PROFILE
Akshit Verma
Aksh Verma developed a Causal Inference Educational Module for Health Data, focusing on heart disease prediction, as part of the nikbearbrown/INFO_7390_Art_and_Science_of_Data repository. The module featured written sections, worked examples, and quizzes designed to help learners apply causal analysis techniques to real health datasets. Aksh used Python and Jupyter Notebook to structure the content and integrate interactive elements, drawing on skills in data analysis, data visualization, and machine learning. The work demonstrated depth by combining educational content with practical assignments, resulting in a comprehensive resource for students learning causal inference in the context of health data science.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,897
Activity Months1
Your Network
155 peopleShared Repositories
18
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered the Causal Inference Educational Module for Health Data (Heart Disease) as part of the INFO_7390 course. The module includes written sections, worked examples, and quizzes to help learners apply causal analysis techniques to health data and heart disease prediction. The work was integrated into the main repository with a commit that added core components (WrittenSection, WorkedExamples, QuizQuestions). No major bugs were reported this month.
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered the Causal Inference Educational Module for Health Data (Heart Disease) as part of the INFO_7390 course. The module includes written sections, worked examples, and quizzes to help learners apply causal analysis techniques to health data and heart disease prediction. The work was integrated into the main repository with a commit that added core components (WrittenSection, WorkedExamples, QuizQuestions). No major bugs were reported this month.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Jupyter Notebookcausal inferencedata analysisdata visualizationmachine learning
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