dataforgoodfr/13_democratiser_sobriete
Sep 2025 – Oct 2025
2 Months active
Languages Used
PythonJSON
Technical Skills
Python scriptingdata analysisdata preprocessingdata processingdata visualizationhyperparameter optimization
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PROFILE
Unknown
Over a two-month period, contributed to the dataforgoodfr/13_democratiser_sobriete repository by developing automated clustering workflows focused on hyperparameter optimization and data-driven decision support. Built an Optuna-based framework in Python that streamlines clustering parameter tuning, integrates dynamic configuration via JSON, and enhances interpretability through visualization utilities using Plotly. Implemented K-means clustering for policy data, embedding it within the extraction pipeline to surface representative keywords and improve data quality, with gating logic to ensure relevance. Emphasized robust data preprocessing, logging, and DataFrame integration, resulting in improved performance, traceability, and maintainability for machine learning-driven clustering and analytics tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
3
Lines of code
1,009
Activity Months2
Your Network
11 peopleShared Repositories
11
Edouard CalletMember
etienneguevelMember
François BONIFACEMember
JesshuanMember
Max BarbetMember
MNIKIEMAMember
Olivier JayletMember
Paul GabrielMember
RegisMember
Work History
October 2025
7 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — Delivered two clustering enhancements in dataforgoodfr/13_democratiser_sobriete that drive data-driven decision support and data quality: (1) Clustering Optimization Framework using Optuna with dynamic parameter tuning, improved logging, data handling, and a JSON config plus analytics utilities for visualization; (2) K-means Clustering for Policy Data integrated into the policy extraction pipeline to surface representative keywords, with hyperparameters, DataFrame integration, performance/logging improvements, and gating to cluster only policies with more than three words. Key commits: 7a425b8104a2cf9ae12b023476612a3435147807; 87a8ababef966c929804215b9b857dc7b4141284; 4c6cae04ab647eed2cdc2140956bd3bf146314d7; 9d69fa68bc92db85b0623165778ebb20e6a8a2fd; 967019aa2a53efcbad16b489c1bf04c34d4d8d96; da0099c1d1b60c5690b9cf9dd42b90763ef12471; 75bfc1d0a934dc973014d9d040a13181b5423d97.
7 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — Delivered two clustering enhancements in dataforgoodfr/13_democratiser_sobriete that drive data-driven decision support and data quality: (1) Clustering Optimization Framework using Optuna with dynamic parameter tuning, improved logging, data handling, and a JSON config plus analytics utilities for visualization; (2) K-means Clustering for Policy Data integrated into the policy extraction pipeline to surface representative keywords, with hyperparameters, DataFrame integration, performance/logging improvements, and gating to cluster only policies with more than three words. Key commits: 7a425b8104a2cf9ae12b023476612a3435147807; 87a8ababef966c929804215b9b857dc7b4141284; 4c6cae04ab647eed2cdc2140956bd3bf146314d7; 9d69fa68bc92db85b0623165778ebb20e6a8a2fd; 967019aa2a53efcbad16b489c1bf04c34d4d8d96; da0099c1d1b60c5690b9cf9dd42b90763ef12471; 75bfc1d0a934dc973014d9d040a13181b5423d97.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary for dataforgoodfr/13_democratiser_sobriete focusing on delivering an automated clustering hyperparameter optimization workflow and related maintenance.
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary for dataforgoodfr/13_democratiser_sobriete focusing on delivering an automated clustering hyperparameter optimization workflow and related maintenance.
Activity
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Quality Metrics
Correctness88.0%
Maintainability86.0%
Architecture86.0%
Performance84.0%
AI Usage32.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
K-means clusteringKMeans clusteringNumPyPandasPlotlyPythonPython scriptingStatistical Analysisdata analysisdata preprocessingdata processingdata visualizationhyperparameter optimizationloggingmachine learning
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