ITACADEMYprojectes/ProjecteData
Feb 2025 – Mar 2025
2 Months active
Languages Used
JSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Data AnalysisData CleaningData ExplorationData PreprocessingDatabase ConnectionDocumentation
Cristina
PROFILE
Cristina
Cristina Cumplido contributed to the ITACADEMYprojectes/ProjecteData repository by developing and refining data analysis workflows focused on tourism and marketing analytics. She built Jupyter Notebooks in Python to streamline data exploration, preprocessing, and visualization, addressing issues such as missing values, duplicate records, and metric calculation. Her work included introducing a new avg_cleanliness metric for company simulations and enhancing visualizations of occupancy and demand trends using Pandas and Seaborn. Cristina also improved project maintainability by cleaning up obsolete documentation and notebooks, ensuring reproducibility and clarity. Her contributions deepened data reliability and supported more effective business decision-making within the project.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
22Total
Bugs
2
Commits
22
Features
6
Lines of code
36,621
Activity Months2
Your Network
36 people
Work History
March 2025
16 Commits • 3 Features
Mar 1, 2025March 2025 (2025-03) performance for ITACADEMYprojectes/ProjecteData. Delivered end-to-end improvements in marketing analytics data quality, expanded tourism demand visuals, introduced a new avg_cleanliness metric, and performed maintenance/documentation cleanup to enhance long-term maintainability and governance. These efforts increase data reliability, enable better marketing optimization, improve scenario planning, and reduce technical debt, translating into clearer business insights and faster decision support.
16 Commits • 3 Features
Mar 1, 2025March 2025 (2025-03) performance for ITACADEMYprojectes/ProjecteData. Delivered end-to-end improvements in marketing analytics data quality, expanded tourism demand visuals, introduced a new avg_cleanliness metric, and performed maintenance/documentation cleanup to enhance long-term maintainability and governance. These efforts increase data reliability, enable better marketing optimization, improve scenario planning, and reduce technical debt, translating into clearer business insights and faster decision support.
March 2025
February 2025
6 Commits • 3 Features
Feb 1, 2025February 2025 update for ITACADEMYprojectes/ProjecteData: Delivered three new notebooks to enhance data work and onboarding, performed targeted documentation cleanup, and improved reproducibility and maintainability of the project. This period focused on adding practical data exploration, preprocessing, and GitHub workflow guidance, followed by removing obsolete artifacts to reduce confusion and technical debt.
February 2025
6 Commits • 3 Features
Feb 1, 2025February 2025 update for ITACADEMYprojectes/ProjecteData: Delivered three new notebooks to enhance data work and onboarding, performed targeted documentation cleanup, and improved reproducibility and maintainability of the project. This period focused on adding practical data exploration, preprocessing, and GitHub workflow guidance, followed by removing obsolete artifacts to reduce confusion and technical debt.
Activity
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Quality Metrics
Correctness82.8%
Maintainability82.8%
Architecture75.4%
Performance74.6%
AI Usage23.6%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Data AnalysisData CleaningData EngineeringData ExplorationData ManipulationData PreparationData PreprocessingData VisualizationDatabase ConnectionDatabase ManagementDocumentationExploratory Data AnalysisGitGitHubJupyter Notebook
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline