racousin/data_science_practice_2025
Sep 2025 – Oct 2025
2 Months active
Languages Used
JSONJupyter NotebookPythonSQLTOMLTextCSVShell
Technical Skills
API IntegrationBeautifulSoupBuild SystemsData AnalysisData CollectionData Entry
brisiq
PROFILE
Brisiq
Brisia Chen developed and maintained the racousin/data_science_practice_2025 repository over two months, building reusable Python utilities, end-to-end machine learning pipelines, and computer vision solutions. She implemented data collection, preprocessing, model training, and evaluation workflows using Jupyter Notebooks, Pandas, and Scikit-learn, ensuring data integrity and reproducibility. Her work included packaging a mathematical utilities library, enabling user tracking for personalized exercise flows, and fine-tuning a YOLOv8 model for object detection with validated performance metrics. Brisia also established model benchmarking with LightGBM and cross-validation, and corrected data issues to support production-ready predictions, demonstrating depth in both engineering and applied data science.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
16Total
Bugs
1
Commits
16
Features
6
Lines of code
27,562
Activity Months2
Your Network
22 people
Work History
October 2025
4 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for racousin/data_science_practice_2025. Focused on data integrity, model benchmarking, end-to-end prediction readiness, and applied computer vision demonstrating practical deployment potential across modules. All work was aligned with business value: higher data quality, faster, evidence-based model iteration, and ready-to-submit predictions in production-like notebooks.
4 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for racousin/data_science_practice_2025. Focused on data integrity, model benchmarking, end-to-end prediction readiness, and applied computer vision demonstrating practical deployment potential across modules. All work was aligned with business value: higher data quality, faster, evidence-based model iteration, and ready-to-submit predictions in production-like notebooks.
October 2025
September 2025
12 Commits • 3 Features
Sep 1, 2025September 2025 (2025-09) focused on delivering reusable utilities, enabling user-centric exercise flows, and establishing end-to-end ML notebooks and data pipelines across modules 1-4. Key hygiene improvements were made to ensure a stable, scalable baseline for automated delivery and evaluation.
September 2025
12 Commits • 3 Features
Sep 1, 2025September 2025 (2025-09) focused on delivering reusable utilities, enabling user-centric exercise flows, and establishing end-to-end ML notebooks and data pipelines across modules 1-4. Key hygiene improvements were made to ensure a stable, scalable baseline for automated delivery and evaluation.
Activity
Loading activity data...
Quality Metrics
Correctness85.2%
Maintainability86.4%
Architecture83.8%
Performance83.8%
AI Usage22.6%
Skills & Technologies
Programming Languages
CSVJSONJupyter NotebookPythonSQLShellTOMLText
Technical Skills
API IntegrationBeautifulSoupBuild SystemsComputer VisionCross-validationData AnalysisData CollectionData EntryData ManagementData PreprocessingData ProcessingData ScienceData VisualizationDeep LearningFeature Engineering
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline