ITACADEMYprojectes/ProjecteData
Nov 2024 – Dec 2024
2 Months active
Languages Used
Jupyter NotebookPythonSQLCSVPower BI
Technical Skills
Data AnalysisData CleaningData ExportData ImputationData VisualizationJupyter Notebook
Fede Labate
PROFILE
Fede Labate
Federico Labate contributed to the ITACADEMYprojectes/ProjecteData repository by building end-to-end data cleaning pipelines, analytics notebooks, and Power BI dashboards to support marketing and housing data analysis. He applied Python, SQL, and Power BI to engineer reproducible ETL workflows, impute missing values, and standardize file organization for sprint artifacts. Federico’s work included developing mobile-first marketing analytics, implementing statistical tests, and exporting cleaned datasets to CSV and Parquet formats. By focusing on data quality, reproducibility, and business intelligence, he established scalable analytics foundations that enable data-driven decision making and streamlined reporting for marketing optimization and KPI tracking.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
21Total
Bugs
1
Commits
21
Features
7
Lines of code
81,044
Activity Months2
Your Network
36 people
Work History
December 2024
12 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for ITACADEMYprojectes/ProjecteData: Delivered end-to-end data cleaning, marketing analytics enhancements, sprint artifact standardization, and analytics dashboards. Focused on data quality, reproducibility, and business intelligence to support marketing optimization and data-driven decision making across housing and marketing datasets. No major bugs fixed; data quality improvements were addressed within feature work. This month established a foundation for scalable analytics across S1-S4 and KPIs.
12 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for ITACADEMYprojectes/ProjecteData: Delivered end-to-end data cleaning, marketing analytics enhancements, sprint artifact standardization, and analytics dashboards. Focused on data quality, reproducibility, and business intelligence to support marketing optimization and data-driven decision making across housing and marketing datasets. No major bugs fixed; data quality improvements were addressed within feature work. This month established a foundation for scalable analytics across S1-S4 and KPIs.
December 2024
November 2024
9 Commits • 2 Features
Nov 1, 2024Monthly performance summary for ITACADEMYprojectes/ProjecteData — November 2024. Delivered data quality improvements and analytics foundations across three primary workstreams. Key outcomes include robust data cleaning and imputation for BANK_marketing, enabling modeling under two theoretical approaches (FL_AT and ML); the creation and refinement of marketing/business analytics notebooks with data export capabilities to CSV and Parquet; and a clean, reproducible test environment by removing temporary files. These efforts reduce data quality risk, accelerate analytical storytelling for stakeholders, and lay groundwork for scalable analytics pipelines.
November 2024
9 Commits • 2 Features
Nov 1, 2024Monthly performance summary for ITACADEMYprojectes/ProjecteData — November 2024. Delivered data quality improvements and analytics foundations across three primary workstreams. Key outcomes include robust data cleaning and imputation for BANK_marketing, enabling modeling under two theoretical approaches (FL_AT and ML); the creation and refinement of marketing/business analytics notebooks with data export capabilities to CSV and Parquet; and a clean, reproducible test environment by removing temporary files. These efforts reduce data quality risk, accelerate analytical storytelling for stakeholders, and lay groundwork for scalable analytics pipelines.
Activity
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Quality Metrics
Correctness83.4%
Maintainability83.0%
Architecture79.0%
Performance79.0%
AI Usage21.8%
Skills & Technologies
Programming Languages
CSVJupyter NotebookPower BIPythonSQL
Technical Skills
Business IntelligenceData AnalysisData CleaningData EngineeringData ExportData ImputationData VisualizationFile ManagementJupyter NotebookJupyter NotebooksMatplotlibPandasPlotlyPower BI DevelopmentProject Organization
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