ITACADEMYprojectes/ProjecteData
Jun 2025 – Jul 2025
2 Months active
Languages Used
Jupyter NotebookPythonSQL
Technical Skills
Data AnalysisData CleaningData VisualizationDatabase InteractionDatabase ManagementExploratory Data Analysis (EDA)
loren-2
PROFILE
Loren-2
Lorena contributed to the ITACADEMYprojectes/ProjecteData repository by developing data preparation and analytics workflows focused on HR absenteeism insights. She implemented reproducible pipelines using Python, Pandas, and Jupyter Notebooks, delivering cleaned datasets and exploratory analysis artifacts that support data-driven decision-making. Her work included repository cleanup to improve maintainability, creation of preprocessing notebooks for Equip_14, and the integration of new absenteeism datasets with feature engineering and correlation analysis. By establishing clear scaffolding and precise commit practices, Lorena ensured traceability and readiness for future development. The depth of her contributions reflects a strong foundation in data engineering and analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
42,971
Activity Months2
Your Network
36 people
Work History
July 2025
4 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for ITACADEMYprojectes/ProjecteData. Focused on delivering clean data assets and enabling data-driven HR analytics with reproducible workflows. Key results include repository cleanup, data prep for Equip_14, and enhanced absenteeism analytics with new dataset and EDA artifacts. No critical bugs identified this month; all work emphasizes business value and maintainability.
4 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for ITACADEMYprojectes/ProjecteData. Focused on delivering clean data assets and enabling data-driven HR analytics with reproducible workflows. Key results include repository cleanup, data prep for Equip_14, and enhanced absenteeism analytics with new dataset and EDA artifacts. No critical bugs identified this month; all work emphasizes business value and maintainability.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 (ITACADEMYprojectes/ProjecteData) – Concise monthly summary focused on business value and technical progress. Key features delivered: - Added prueba_lorena.txt as a placeholder file to scaffold future work in ITACADEMYprojectes/ProjecteData. This non-functional placeholder ensures a ready path for upcoming tasks and aligns with roadmap milestones. Commit ec1ad052b04bf564a738cbda8cbd2f1f480b40c5. Major bugs fixed: - No bugs fixed in this repository during June 2025. Overall impact and accomplishments: - Established a low-risk scaffolding change that accelerates future feature work while preserving current stability. - Improved readiness for upcoming development cycles, with clear traceability of changes via a dedicated commit. Technologies/skills demonstrated: - Git version control and precise commit messaging - Repository organization and scaffolding practices for iterative delivery - Roadmap-aligned planning and change management
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 (ITACADEMYprojectes/ProjecteData) – Concise monthly summary focused on business value and technical progress. Key features delivered: - Added prueba_lorena.txt as a placeholder file to scaffold future work in ITACADEMYprojectes/ProjecteData. This non-functional placeholder ensures a ready path for upcoming tasks and aligns with roadmap milestones. Commit ec1ad052b04bf564a738cbda8cbd2f1f480b40c5. Major bugs fixed: - No bugs fixed in this repository during June 2025. Overall impact and accomplishments: - Established a low-risk scaffolding change that accelerates future feature work while preserving current stability. - Improved readiness for upcoming development cycles, with clear traceability of changes via a dedicated commit. Technologies/skills demonstrated: - Git version control and precise commit messaging - Repository organization and scaffolding practices for iterative delivery - Roadmap-aligned planning and change management
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture88.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQL
Technical Skills
Data AnalysisData CleaningData VisualizationDatabase InteractionDatabase ManagementExploratory Data Analysis (EDA)Jupyter NotebookJupyter NotebooksMatplotlibMySQLNumPyPandasSQLSeaborn
Repositories Contributed To
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