Prof-Drake-UMD/INST-760-SUMMER25
Jul 2025 – Aug 2025
2 Months active
Languages Used
CSVCSSHTMLJavaScriptPython
Technical Skills
Data AnalysisData EngineeringETLDashData EntryData Visualization
stepharosen
PROFILE
Stepharosen
Stephanie Rosen developed data ingestion, analytics, and visualization features for the Prof-Drake-UMD/INST-760-SUMMER25 repository over two months. She engineered scalable pipelines for anime metadata, aligning data models to support recommendation systems and analytics workflows. Using Python, Pandas, and Dash, she built interactive dashboards and analysis scripts for both anime and Pokémon datasets, enabling rapid exploration of complex statistics. Her work included refactoring dashboard layouts for the World Happiness Report, improving maintainability and presentation. Stephanie’s contributions demonstrated depth in data engineering and visualization, integrating large datasets and delivering end-to-end solutions that enhanced the repository’s analytical and user-facing capabilities.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
4
Lines of code
211,713
Activity Months2
Your Network
6 people
Work History
August 2025
9 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08 (Prof-Drake-UMD/INST-760-SUMMER25). Delivered end-to-end data visualization capabilities across diverse datasets, enabling rapid insights into complex statistics and supporting data-driven decision making. Key refactors and visual pipelines improved consistency and maintainability across dashboards and analytics scripts.
9 Commits • 3 Features
Aug 1, 2025Monthly summary for 2025-08 (Prof-Drake-UMD/INST-760-SUMMER25). Delivered end-to-end data visualization capabilities across diverse datasets, enabling rapid insights into complex statistics and supporting data-driven decision making. Key refactors and visual pipelines improved consistency and maintainability across dashboards and analytics scripts.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for Prof-Drake-UMD/INST-760-SUMMER25. Delivered a foundational anime dataset ingestion to support recommendation and analytics workflows, established data model alignment for scalable pipelines, and prepared the project for data-driven feature development. This work enhances analytics capabilities and paves the way for richer user experience recommendations.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for Prof-Drake-UMD/INST-760-SUMMER25. Delivered a foundational anime dataset ingestion to support recommendation and analytics workflows, established data model alignment for scalable pipelines, and prepared the project for data-driven feature development. This work enhances analytics capabilities and paves the way for richer user experience recommendations.
Activity
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Quality Metrics
Correctness89.0%
Maintainability89.0%
Architecture87.0%
Performance86.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSCSVHTMLJavaScriptPython
Technical Skills
DashData AnalysisData EngineeringData EntryData VisualizationDataset ManagementETLMatplotlibNumpyPandasPlotlyPythonSeabornWeb Development
Repositories Contributed To
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