giovanirojascuela/2025_5TO01
May 2025 – Jul 2025
3 Months active
Languages Used
MarkdownTextPython
Technical Skills
DocumentationKey ManagementData AnalysisData PreprocessingData VisualizationFeature Engineering
JhenyEdith
PROFILE
Jhenyedith
Over a three-month period, contributed to the giovanirojascuela/2025_5TO01 repository by developing end-to-end data analytics and machine learning workflows focused on sales forecasting and analytics. Built Python and Google Colab notebooks that load, clean, and preprocess sales data, engineer time-based features, and visualize trends using libraries such as Pandas, Matplotlib, and Scikit-learn. Delivered a reproducible pipeline for forecasting coffee sales and prices, with models and scalers persisted for future use. Enhanced project documentation and onboarding by personalizing repository materials and implementing secure SSH key management, emphasizing data quality, reproducibility, and streamlined collaboration without major bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
5
Lines of code
7,298
Activity Months3
Your Network
40 peopleSame Organization
@senati.pe9
Shared Repositories
31
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary: In project giovanirojascuela/2025_5TO01, delivered an end-to-end Sales Analytics Notebook in Python/Google Colab that loads and merges CSV data, cleans data (including filling missing values in the 'card' column), conducts exploratory data analysis with distributions and trend visualizations, and engineers features to prepare data for machine learning model training (extracting date components, day of week, hour, and month) with a train/test split. This release establishes a reproducible analytics workflow, enabling faster data-driven insights and a foundation for predictive modeling. No major bug fixes were required this month; the focus was feature delivery and data quality improvements.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary: In project giovanirojascuela/2025_5TO01, delivered an end-to-end Sales Analytics Notebook in Python/Google Colab that loads and merges CSV data, cleans data (including filling missing values in the 'card' column), conducts exploratory data analysis with distributions and trend visualizations, and engineers features to prepare data for machine learning model training (extracting date components, day of week, hour, and month) with a train/test split. This release establishes a reproducible analytics workflow, enabling faster data-driven insights and a foundation for predictive modeling. No major bug fixes were required this month; the focus was feature delivery and data quality improvements.
July 2025
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for giovanirojascuela/2025_5TO01: Delivered an end-to-end Coffee Sales Forecasting Pipeline and Visualization, established Colab-based project scaffolding, and prepared reusable artifacts to accelerate production handoffs. No critical bugs reported this month; focus was on delivering business value through data-driven forecasting and a ready-to-use development environment.
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for giovanirojascuela/2025_5TO01: Delivered an end-to-end Coffee Sales Forecasting Pipeline and Visualization, established Colab-based project scaffolding, and prepared reusable artifacts to accelerate production handoffs. No critical bugs reported this month; focus was on delivering business value through data-driven forecasting and a ready-to-use development environment.
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for giovannirojascuela/2025_5TO01. Delivered two focused features that enhance contributor experience and repository security, with clear traceability of changes. No major bugs reported during the period. Impact includes improved onboarding, better attribution, and secure access management, enabling faster and safer contributions. Demonstrated skills include documentation best practices, precise version-control commits, and authentication/configuration management.
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for giovannirojascuela/2025_5TO01. Delivered two focused features that enhance contributor experience and repository security, with clear traceability of changes. No major bugs reported during the period. Impact includes improved onboarding, better attribution, and secure access management, enabling faster and safer contributions. Demonstrated skills include documentation best practices, precise version-control commits, and authentication/configuration management.
May 2025
Activity
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Quality Metrics
Correctness70.0%
Maintainability70.0%
Architecture70.0%
Performance70.0%
AI Usage32.6%
Skills & Technologies
Programming Languages
MarkdownPythonText
Technical Skills
Data AnalysisData CleaningData PreprocessingData VisualizationDocumentationFeature EngineeringKey ManagementMachine LearningMatplotlibNumPyPandasScikit-learnSeabornTensorFlow
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline