
Aleix worked on the ITACADEMYprojectes/ProjecteData repository, developing analytics workflows and enhancing data visualization for tourism and marketing analysis. He refactored Jupyter Notebooks to improve code cleanliness, introduced project-relative data loading, and localized visualizations with Spanish translations. Using Python, Pandas, and Plotly, Aleix added heatmaps and regression models to derive insights on price, occupancy, and satisfaction across cities. He consolidated and documented Sprint 1 assets to streamline onboarding and traceability. In June, he enriched seasonal datasets and refined Power BI dashboards, supporting data-driven tourism planning. The work demonstrated depth in data engineering, maintainability, and collaborative repository management.

2025-06 Monthly Summary: Implemented end-to-end seasonal data enrichment and enhanced seasonality reporting for ITACADEMYprojectes/ProjecteData. Delivered richer analytics datasets, improved dashboards, and updated documentation to support data-driven decision-making in tourism planning.
2025-06 Monthly Summary: Implemented end-to-end seasonal data enrichment and enhanced seasonality reporting for ITACADEMYprojectes/ProjecteData. Delivered richer analytics datasets, improved dashboards, and updated documentation to support data-driven decision-making in tourism planning.
May 2025 monthly summary for ITACADEMYprojectes/ProjecteData focusing on delivering business value through portable analytics workflows, enhanced data visualization, and improved repository organization. Highlights include feature-rich enhancements to Marketing Analytics Notebook, plus consolidation and documentation of Sprint 1 assets to support onboarding and traceability across teams. The work emphasizes cross-city decision support, data accessibility, and scalable analytics practices.
May 2025 monthly summary for ITACADEMYprojectes/ProjecteData focusing on delivering business value through portable analytics workflows, enhanced data visualization, and improved repository organization. Highlights include feature-rich enhancements to Marketing Analytics Notebook, plus consolidation and documentation of Sprint 1 assets to support onboarding and traceability across teams. The work emphasizes cross-city decision support, data accessibility, and scalable analytics practices.
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