racousin/data_science_practice_2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
JSONJupyter NotebookMarkdownPythonShell
Technical Skills
API IntegrationData AggregationData AnalysisData CleaningData CollectionData Engineering
cyruszhang36969-stack
PROFILE
Cyruszhang36969-stack
Over two months, contributed to the racousin/data_science_practice_2025 repository by building end-to-end data science workflows and reusable tooling. Developed pipelines for forecasting quantity sold across stores, predicting house prices, and preprocessing weather and electricity demand data, emphasizing data collection, cleaning, outlier handling, and model training. Implemented a boat detection workflow using YOLO and Ultralytics for satellite imagery, and explored financial time-series modeling and LLM-based mathematical reasoning. Enhanced project structure with module scaffolding, documentation improvements, and utility package development. Leveraged Python, Jupyter Notebooks, and libraries such as Pandas and Scikit-learn to deliver maintainable, production-ready analytics solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
32Total
Bugs
0
Commits
32
Features
11
Lines of code
37,555
Activity Months2
Your Network
22 peopleShared Repositories
22
Work History
October 2025
17 Commits • 5 Features
Oct 1, 2025October 2025 summary for racousin/data_science_practice_2025: Key features delivered across data science workflows, foundational analytics pipelines, and documentation improvements. No major bugs fixed this month; maintenance focused on quality of docs and repo hygiene. Overall impact: improved data readiness for forecasting (weather/electricity), enhanced satellite imagery analysis groundwork (boat detection), strengthened financial time-series modeling, and expanded ML reasoning experimentation. Technologies demonstrated include Python, Jupyter, Ultralytics YOLO, data imputation, time-series analysis, and LLM prompting.
17 Commits • 5 Features
Oct 1, 2025October 2025 summary for racousin/data_science_practice_2025: Key features delivered across data science workflows, foundational analytics pipelines, and documentation improvements. No major bugs fixed this month; maintenance focused on quality of docs and repo hygiene. Overall impact: improved data readiness for forecasting (weather/electricity), enhanced satellite imagery analysis groundwork (boat detection), strengthened financial time-series modeling, and expanded ML reasoning experimentation. Technologies demonstrated include Python, Jupyter, Ultralytics YOLO, data imputation, time-series analysis, and LLM prompting.
October 2025
September 2025
15 Commits • 6 Features
Sep 1, 2025September 2025 across racousin/data_science_practice_2025 focused on delivering end-to-end data science capabilities, strengthening project structure, and introducing reusable tooling. No critical bugs were reported; the emphasis was on cleanup and maintainability to accelerate future development while delivering tangible business value through data pipelines and models.
September 2025
15 Commits • 6 Features
Sep 1, 2025September 2025 across racousin/data_science_practice_2025 focused on delivering end-to-end data science capabilities, strengthening project structure, and introducing reusable tooling. No critical bugs were reported; the emphasis was on cleanup and maintainability to accelerate future development while delivering tangible business value through data pipelines and models.
Activity
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Quality Metrics
Correctness88.8%
Maintainability90.2%
Architecture88.8%
Performance86.4%
AI Usage28.2%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonShell
Technical Skills
API IntegrationComputer VisionData AggregationData AnalysisData CleaningData CollectionData EngineeringData PreprocessingData ScienceData ScrapingData VisualizationDocumentationFile ManagementFinancial Time Series AnalysisHugging Face Transformers
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline