thezachdrake/UMD-INST627-Fall2024
Nov 2024 – Dec 2024
2 Months active
Languages Used
Jupyter NotebookMarkdownPythonSQL
Technical Skills
Data AnalysisData VisualizationJupyter NotebookJupyter NotebooksMatplotlibPandas
kyueunkim-hci
PROFILE
Kyueunkim-hci
Zach Drake developed a series of NBA investment analysis notebooks for the thezachdrake/UMD-INST627-Fall2024 repository, focusing on identifying high-performing teams with investment potential. He structured the analysis in Jupyter Notebooks using Python, Pandas, and Seaborn, iteratively enhancing data retrieval, filtering, and visualization to improve reliability and usability. His work included refining business questions, implementing defense-focused metrics, and exploring correlations between defensive performance and win rates. By consolidating home and away data views and expanding scoring consistency analysis, Zach provided actionable insights for investment strategy. The notebooks emphasized reproducibility, collaboration, and clear documentation, demonstrating thoughtful engineering depth throughout.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
2
Lines of code
7,736
Activity Months2
Your Network
6 people
Work History
December 2024
5 Commits • 1 Features
Dec 1, 2024December 2024 monthly performance summary for thezachdrake/UMD-INST627-Fall2024: Delivered an enhanced NBA team performance analysis notebook focusing on defense, valuation, and business impact. Refined defense-focused metrics, explored correlations between defensive performance and win rates, consolidated home/away views, and introduced new visualizations. Expanded analysis of scoring consistency and investment opportunities to provide actionable insights for strategy and decision-making. Improvements were achieved through a sequence of notebook revisions and related artifacts, strengthening readability, reproducibility, and collaboration traceability.
5 Commits • 1 Features
Dec 1, 2024December 2024 monthly performance summary for thezachdrake/UMD-INST627-Fall2024: Delivered an enhanced NBA team performance analysis notebook focusing on defense, valuation, and business impact. Refined defense-focused metrics, explored correlations between defensive performance and win rates, consolidated home/away views, and introduced new visualizations. Expanded analysis of scoring consistency and investment opportunities to provide actionable insights for strategy and decision-making. Improvements were achieved through a sequence of notebook revisions and related artifacts, strengthening readability, reproducibility, and collaboration traceability.
December 2024
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024: Delivered NBA Investment Analysis Notebooks for the UMD INST627 Fall 2024 project. Created an online notebook to frame business questions and implemented iterative enhancements to data retrieval, execution counts, filtering, and visualizations to identify high-scoring and consistent NBA teams with investment potential for the upcoming season. Refined notebook flow across multiple commits to improve reliability, performance, and usability. No major bugs reported; all changes delivered as incremental improvements tracked via issues.
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024: Delivered NBA Investment Analysis Notebooks for the UMD INST627 Fall 2024 project. Created an online notebook to frame business questions and implemented iterative enhancements to data retrieval, execution counts, filtering, and visualizations to identify high-scoring and consistent NBA teams with investment potential for the upcoming season. Refined notebook flow across multiple commits to improve reliability, performance, and usability. No major bugs reported; all changes delivered as incremental improvements tracked via issues.
Activity
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Quality Metrics
Correctness82.0%
Maintainability82.0%
Architecture82.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPythonSQL
Technical Skills
Data AnalysisData VisualizationJupyter NotebookJupyter NotebooksMatplotlibPandasPythonSQLSQLAlchemySQLiteSeaborn
Repositories Contributed To
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