ITACADEMYprojectes/ProjecteData
May 2025 – Jun 2025
2 Months active
Languages Used
CSVJupyter NotebookPower BIPythonSQLTextGLSLJSON
Technical Skills
Business IntelligenceCode CleanupData AnalysisData CleaningData EngineeringData Entry
Eloi
PROFILE
Eloi
Eloi Sce developed data analytics and visualization features for the ITACADEMYprojectes/ProjecteData repository over two months, focusing on business intelligence and marketing analytics. He engineered a robust CSV data pipeline and enhanced Power BI presentations to improve data quality and stakeholder communication. Using Python, Pandas, and GLSL, Eloi modernized Jupyter notebooks for tourism analytics, introduced shader-based graphics for richer visuals, and refined data filtering for marketing decision-making. His work included documentation updates, code cleanup, and the creation of reusable Python utilities, resulting in more maintainable code, scalable analytics workflows, and improved data-driven reporting for business and client-facing deliverables.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
33Total
Bugs
2
Commits
33
Features
13
Lines of code
338,865
Activity Months2
Your Network
36 people
Work History
June 2025
10 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for ITACADEMYprojectes/ProjecteData: Focused on delivering data analytics enhancements, visuals, and business-facing documents that drive data-driven decisions and clearer stakeholder communications. Key features delivered include Tourism data analytics notebooks improvements with annual variation datasets and KPI updates; a GLSL shader suite for enhanced on-screen visuals; Sprint 4 visuals and reports assets updates including Power BI visuals and European graphs; and updates to business proposals. Minor maintenance and stability improvements were performed, including a targeted adjustment in KPI notebooks to optimize performance. Impact: improved data provisioning and export capabilities, richer visual storytelling for tourism performance, and aligned business proposals with revised strategies, enabling faster decision-making and more compelling client pitches. Technologies and skills demonstrated: Python data science and notebook modernization, GLSL shader development, Power BI reporting, data provisioning, version control, and cross-team collaboration.
10 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for ITACADEMYprojectes/ProjecteData: Focused on delivering data analytics enhancements, visuals, and business-facing documents that drive data-driven decisions and clearer stakeholder communications. Key features delivered include Tourism data analytics notebooks improvements with annual variation datasets and KPI updates; a GLSL shader suite for enhanced on-screen visuals; Sprint 4 visuals and reports assets updates including Power BI visuals and European graphs; and updates to business proposals. Minor maintenance and stability improvements were performed, including a targeted adjustment in KPI notebooks to optimize performance. Impact: improved data provisioning and export capabilities, richer visual storytelling for tourism performance, and aligned business proposals with revised strategies, enabling faster decision-making and more compelling client pitches. Technologies and skills demonstrated: Python data science and notebook modernization, GLSL shader development, Power BI reporting, data provisioning, version control, and cross-team collaboration.
June 2025
May 2025
23 Commits • 9 Features
May 1, 2025May 2025 summary for ITACADEMYprojectes/ProjecteData: Completed a set of 9 features and 2 bug fixes across data processing, marketing deliverables, and project hygiene. Delivered a robust CSV handling and data cleaning pipeline, enhanced marketing materials and Power BI presentations, refined data filters for marketing analytics, and introduced Python utilities to accelerate tasks. Archived Sprint 1 artifacts and updated the Readme for onboarding and handoff. These results improve data quality, stakeholder communications, and maintainability, enabling faster decision making and scalable analytics.
May 2025
23 Commits • 9 Features
May 1, 2025May 2025 summary for ITACADEMYprojectes/ProjecteData: Completed a set of 9 features and 2 bug fixes across data processing, marketing deliverables, and project hygiene. Delivered a robust CSV handling and data cleaning pipeline, enhanced marketing materials and Power BI presentations, refined data filters for marketing analytics, and introduced Python utilities to accelerate tasks. Archived Sprint 1 artifacts and updated the Readme for onboarding and handoff. These results improve data quality, stakeholder communications, and maintainability, enabling faster decision making and scalable analytics.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture75.2%
Performance74.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVGLSLJSONJupyter NotebookPower BIPythonSQLText
Technical Skills
Business IntelligenceCode CleanupData AnalysisData CleaningData EngineeringData EntryData ManagementData VisualizationDatabase ConnectionFile ManagementGraphics ProgrammingJupyter NotebookJupyter NotebooksMarketing AnalysisMatplotlib
Repositories Contributed To
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