ITACADEMYprojectes/ProjecteData
Oct 2024 – Nov 2024
2 Months active
Languages Used
PythonSQLJupyter Notebook
Technical Skills
Data AnalysisData CleaningDatabase ConnectionDatabase ManagementExploratory Data AnalysisJupyter Notebook
PauFernandezRipolles
PROFILE
Paufernandezripolles
During two months on the ITACADEMYprojectes/ProjecteData repository, Ueretes developed five features focused on data analytics and marketing insights. They built Jupyter Notebooks for marketing data analysis, connecting to databases and performing exploratory data analysis on customer balances and default status. Using Python, Pandas, and SQL, Ueretes implemented a data cleaning pipeline to handle missing values and standardize data formats, improving dataset reliability. They refreshed marketing collateral, updating PowerPoint and Power BI assets to reflect new findings. Additionally, Ueretes delivered a balance risk analysis feature, categorizing customer balances and training a decision tree to support risk-aware credit decisions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
5
Lines of code
10,912
Activity Months2
Your Network
36 people
Work History
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for ITACADEMYprojectes/ProjecteData: Delivered two key features with measurable business value and updated critical BI/assets. No major bugs fixed reported this period. Highlights include asset refresh for marketing materials and an advanced balance risk analysis feature supporting risk-aware customer credit decisions.
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for ITACADEMYprojectes/ProjecteData: Delivered two key features with measurable business value and updated critical BI/assets. No major bugs fixed reported this period. Highlights include asset refresh for marketing materials and an advanced balance risk analysis feature supporting risk-aware customer credit decisions.
November 2024
October 2024
3 Commits • 3 Features
Oct 1, 2024Month: 2024-10 — Focused contributions across data analytics, data quality, and marketing collateral for Sprint 4 within ITACADEMYprojectes/ProjecteData. This month delivered concrete data-driven assets and improvements that enable faster decision-making and more reliable dashboards.
October 2024
3 Commits • 3 Features
Oct 1, 2024Month: 2024-10 — Focused contributions across data analytics, data quality, and marketing collateral for Sprint 4 within ITACADEMYprojectes/ProjecteData. This month delivered concrete data-driven assets and improvements that enable faster decision-making and more reliable dashboards.
Activity
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Quality Metrics
Correctness82.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonSQL
Technical Skills
Data AnalysisData CleaningData VisualizationDatabase ConnectionDatabase ManagementExploratory Data AnalysisJupyter NotebookMachine LearningMatplotlibPandasPythonSQLScikit-learnSeaborn
Repositories Contributed To
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