racousin/data_science_practice_2025
Oct 2025 – Oct 2025
1 Month active
Languages Used
Jupyter NotebookPythonSQL
Technical Skills
Data CleaningData PreprocessingData ScienceData VisualizationJupyter NotebookMachine Learning
Camel-glitch
PROFILE
Camel-glitch
In October 2025, Acrmalik contributed to the racousin/data_science_practice_2025 repository by developing three core features focused on data science workflows. He enhanced data loading and preprocessing pipelines in Jupyter Notebooks using Python and Pandas, streamlining dataset preparation and environment setup. Acrmalik also built a time series forecasting module for electricity demand, addressing data cleaning, feature engineering, and model evaluation. Additionally, he implemented a YOLO-based object detection notebook for identifying boats in satellite imagery, integrating data collection and visualization. His work demonstrated technical depth in machine learning and computer vision, though an unresolved Selenium WebDriver issue was identified for future resolution.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
5,872
Activity Months1
Your Network
26 people
Work History
October 2025
3 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for racousin/data_science_practice_2025: Delivered three major features across data loading, forecasting, and computer vision; improved data prep pipelines; established end-to-end capability in time-series forecasting and YOLO-based detection; identified an outstanding Firefox WebDriver initialization issue for follow-up. Focused on business value and technical depth.
3 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for racousin/data_science_practice_2025: Delivered three major features across data loading, forecasting, and computer vision; improved data prep pipelines; established end-to-end capability in time-series forecasting and YOLO-based detection; identified an outstanding Firefox WebDriver initialization issue for follow-up. Focused on business value and technical depth.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness66.6%
Maintainability66.6%
Architecture66.6%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQL
Technical Skills
Data CleaningData PreprocessingData ScienceData VisualizationJupyter NotebookMachine LearningMatplotlibObject DetectionPandasPythonScikit-learnSeleniumTime Series AnalysisYOLO
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline