ITACADEMYprojectes/ProjecteData
Oct 2024 – Nov 2024
2 Months active
Languages Used
PythonSQL
Technical Skills
Data AnalysisData CleaningDatabase ManagementJupyter Notebook
gb585
PROFILE
Gb585
Gorka Bon developed two features over two months within the ITACADEMYprojectes/ProjecteData repository, focusing on data quality and client communication. He built a Jupyter Notebook in Python and SQL to clean and validate the BANK_marketing dataset, establishing a reproducible workflow for data analysis and governance. His approach included connecting to databases, loading multiple tables, and ensuring that cleaning and imputation preserved data integrity and statistical properties. Additionally, Gorka introduced a standardized client presentation asset to streamline reporting and meeting preparation. His work demonstrated depth in data cleaning, database management, and the creation of reusable assets for analytics and stakeholder engagement.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
739
Activity Months2
Your Network
36 people
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered a new client presentation asset within ITACADEMYprojectes/ProjecteData to strengthen client communications and reporting. The file S4_Presentación_Cliente.pptx was added to Equip_B/results and committed as 01cac1433392ec771f4f709247fcf01b47d83663 (vs_041124). This upgrade improves pre-meeting readiness, standardizes client-facing materials, and supports faster, more consistent reporting across engagements.
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered a new client presentation asset within ITACADEMYprojectes/ProjecteData to strengthen client communications and reporting. The file S4_Presentación_Cliente.pptx was added to Equip_B/results and committed as 01cac1433392ec771f4f709247fcf01b47d83663 (vs_041124). This upgrade improves pre-meeting readiness, standardizes client-facing materials, and supports faster, more consistent reporting across engagements.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024In October 2024, delivered a data cleaning and validation notebook for BANK_marketing data within the ITACADEMYprojectes/ProjecteData repository, establishing a reproducible data quality workflow for analytics and governance.
October 2024
1 Commits • 1 Features
Oct 1, 2024In October 2024, delivered a data cleaning and validation notebook for BANK_marketing data within the ITACADEMYprojectes/ProjecteData repository, establishing a reproducible data quality workflow for analytics and governance.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
Data AnalysisData CleaningDatabase ManagementJupyter Notebook
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