ITACADEMYprojectes/ProjecteData
Nov 2024 – Dec 2024
2 Months active
Languages Used
JSONJupyter NotebookPythonSQLCSVDOT
Technical Skills
Data AnalysisData CleaningData VisualizationExploratory Data Analysis (EDA)Jupyter NotebookJupyter Notebooks
AdamTR93
PROFILE
Adamtr93
Adam Tomàs Romaguera contributed to ITACADEMYprojectes/ProjecteData by developing end-to-end analytics and data readiness features focused on financial risk and credit assessment. He engineered data cleaning and exploratory analysis pipelines using Python, Pandas, and SQL, enabling scalable risk modeling and governance-driven reporting. Adam consolidated financial insights across multiple sprints, enhanced KPI metrics, and implemented machine learning model handling for predictive analytics. His work included repository maintenance to reduce technical debt and exporting data assets in CSV and Parquet formats. The depth of his contributions established a robust foundation for business analytics, supporting data-driven decision making and improved data quality.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
30Total
Bugs
2
Commits
30
Features
9
Lines of code
79,553
Activity Months2
Your Network
36 people
Work History
December 2024
21 Commits • 7 Features
Dec 1, 2024December 2024 (ITACADEMYprojectes/ProjecteData) - Delivered end-to-end analytics and data readiness improvements across Sprint 1–4, strengthening data quality, reporting readiness, and ML pipeline support. Consolidated cross-sprint financial insights, expanded data asset exports, and implemented cleanup to reduce confusion and storage. The work established a scalable foundation for business analytics and data-driven decision making.
21 Commits • 7 Features
Dec 1, 2024December 2024 (ITACADEMYprojectes/ProjecteData) - Delivered end-to-end analytics and data readiness improvements across Sprint 1–4, strengthening data quality, reporting readiness, and ML pipeline support. Consolidated cross-sprint financial insights, expanded data asset exports, and implemented cleanup to reduce confusion and storage. The work established a scalable foundation for business analytics and data-driven decision making.
December 2024
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 was focused on data readiness and risk analytics for ITACADEMYprojectes/ProjecteData, delivering features that enable scalable analysis and governance-driven decisions while reducing repository maintenance overhead. Key outcomes include: an organized, noise-free repo; prepared data via EDA and cleaning for the risk dataset; and policy-oriented financial risk notebooks to support decision making. Overall impact includes faster risk modeling iterations and clearer governance-ready outputs.
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 was focused on data readiness and risk analytics for ITACADEMYprojectes/ProjecteData, delivering features that enable scalable analysis and governance-driven decisions while reducing repository maintenance overhead. Key outcomes include: an organized, noise-free repo; prepared data via EDA and cleaning for the risk dataset; and policy-oriented financial risk notebooks to support decision making. Overall impact includes faster risk modeling iterations and clearer governance-ready outputs.
Activity
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Quality Metrics
Correctness82.0%
Maintainability82.0%
Architecture78.0%
Performance77.4%
AI Usage23.4%
Skills & Technologies
Programming Languages
CSVDOTJSONJupyter NotebookPythonSQL
Technical Skills
AWS S3Credit Risk AnalysisCredit Risk AssessmentCrosstabulationData AnalysisData CleaningData EngineeringData ModelingData PreprocessingData TransformationData VisualizationExploratory Data Analysis (EDA)Financial AnalysisGraph VisualizationJupyter Notebook
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline