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
Contributed to the racousin/data_science_practice_2025 repository by developing reusable utilities, end-to-end machine learning notebooks, and robust data pipelines supporting modules 1 through 6. Focused on data integrity and model evaluation, the work included packaging Python utilities, implementing user tracking for personalized exercise flows, and cleaning up repository assets for maintainability. Leveraged technologies such as Python, Pandas, and LightGBM to enable cross-validation, model benchmarking, and automated prediction pipelines. Applied deep learning with YOLOv8 for object detection tasks, delivering validated predictions and performance metrics. Addressed data quality issues and ensured production-ready workflows for both tabular and computer vision modules.
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 peopleShared Repositories
22
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