ITACADEMYprojectes/ProjecteData
Apr 2025 – May 2025
2 Months active
Languages Used
Jupyter NotebookPythonSQLCSVJSON
Technical Skills
Data AnalysisData CleaningData VisualizationDatabase InteractionDatabase ManagementExploratory Data Analysis
Edoardo
PROFILE
Edoardo
Edoardo Brega developed and maintained data analysis and dashboarding solutions for the ITACADEMYprojectes/ProjecteData repository over a two-month period. He expanded Jupyter Notebook-based exploratory data analysis for tourist accommodation operations, introducing new visualizations and implementing data cleaning and security measures using Python, Pandas, and SQL. Edoardo also focused on data governance by standardizing file naming, removing obsolete CSV datasets, and cleaning up legacy Power BI and Python report artifacts. His work improved repository hygiene, ensured data quality, and streamlined onboarding for new team members, demonstrating a thorough approach to data management, artifact lifecycle, and reproducibility across sprints.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
43Total
Bugs
0
Commits
43
Features
10
Lines of code
128,045
Activity Months2
Your Network
36 people
Work History
May 2025
32 Commits • 8 Features
May 1, 2025Month: 2025-05 — Delivered a focused set of data hygiene and governance improvements for ITACADEMYprojectes/ProjecteData. Key features delivered included: (1) Data cleanup of obsolete Equip_G CSVs to prune legacy data and reduce clutter; (2) Sprint04 data file naming: rename legacy CSVs to 2025_5_03_Sprint04_2038/2065/2074 datasets for consistency; (3) UI/Reports cleanup by removing Sprint-01 artifacts (Python and Power BI files) to eliminate outdated dashboards; (4) Cleanup of Sprint-01 assets and cleanup of Sprint-02 and Sprint-04 results artifacts to streamline repository; (5) Addition of a PDF results artifact for stable distribution; (6) Standardization of notebook renames across Sprints and Sprint 04 naming to improve traceability and onboarding. Major bugs fixed: No customer-facing production bugs were reported this month. The work focused on data hygiene and artifact cleanup that removed obsolete files, resolved naming inconsistencies, and reduced technical debt, thereby preventing potential data misinterpretation and wasted storage. Overall impact and accomplishments: Reduced data clutter and technical debt, improved data governance and artifact lifecycle, and established a clean baseline for Sprint04. These changes enhance data consumers’ confidence, accelerate onboarding for new team members, and streamline release readiness for data assets. Technologies/skills demonstrated: Git-driven cleanup and renaming, data stewardship and governance, data pipeline hygiene, notebook and artifact versioning, cross-Sprint naming conventions, and basic data visualization artifact management (Python/Power BI) for governance purposes.
32 Commits • 8 Features
May 1, 2025Month: 2025-05 — Delivered a focused set of data hygiene and governance improvements for ITACADEMYprojectes/ProjecteData. Key features delivered included: (1) Data cleanup of obsolete Equip_G CSVs to prune legacy data and reduce clutter; (2) Sprint04 data file naming: rename legacy CSVs to 2025_5_03_Sprint04_2038/2065/2074 datasets for consistency; (3) UI/Reports cleanup by removing Sprint-01 artifacts (Python and Power BI files) to eliminate outdated dashboards; (4) Cleanup of Sprint-01 assets and cleanup of Sprint-02 and Sprint-04 results artifacts to streamline repository; (5) Addition of a PDF results artifact for stable distribution; (6) Standardization of notebook renames across Sprints and Sprint 04 naming to improve traceability and onboarding. Major bugs fixed: No customer-facing production bugs were reported this month. The work focused on data hygiene and artifact cleanup that removed obsolete files, resolved naming inconsistencies, and reduced technical debt, thereby preventing potential data misinterpretation and wasted storage. Overall impact and accomplishments: Reduced data clutter and technical debt, improved data governance and artifact lifecycle, and established a clean baseline for Sprint04. These changes enhance data consumers’ confidence, accelerate onboarding for new team members, and streamline release readiness for data assets. Technologies/skills demonstrated: Git-driven cleanup and renaming, data stewardship and governance, data pipeline hygiene, notebook and artifact versioning, cross-Sprint naming conventions, and basic data visualization artifact management (Python/Power BI) for governance purposes.
May 2025
April 2025
11 Commits • 2 Features
Apr 1, 2025April 2025 — ITACADEMYprojectes/ProjecteData: Delivered expanded Exploratory Data Analysis (EDA) notebooks for availability and operations, plus Sprint-01 Operations Power BI report. This work enhances data-driven decision making for tourist accommodations across cities and time periods, strengthens data quality and security hygiene, and demonstrates a breadth of data science and BI capabilities across notebooks and dashboards.
April 2025
11 Commits • 2 Features
Apr 1, 2025April 2025 — ITACADEMYprojectes/ProjecteData: Delivered expanded Exploratory Data Analysis (EDA) notebooks for availability and operations, plus Sprint-01 Operations Power BI report. This work enhances data-driven decision making for tourist accommodations across cities and time periods, strengthens data quality and security hygiene, and demonstrates a breadth of data science and BI capabilities across notebooks and dashboards.
Activity
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Quality Metrics
Correctness95.8%
Maintainability95.8%
Architecture94.4%
Performance94.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJSONJupyter NotebookPythonSQL
Technical Skills
DashDashboard DevelopmentDashboardingData AnalysisData CleaningData ManagementData VisualizationDatabase InteractionDatabase ManagementExploratory Data AnalysisExploratory Data Analysis (EDA)File ManagementJupyter NotebookJupyter NotebooksMatplotlib
Repositories Contributed To
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