HWTeng-Teaching/202509-ML-FinTech
Sep 2025 – Dec 2025
4 Months active
Languages Used
MarkdownPythonJupyter NotebookPDFPowerPoint
Technical Skills
Data AnalysisData VisualizationDocumentationJupyter NotebookData ScalingData Simulation
ngthuthuy119
PROFILE
Ngthuthuy119
Thuy Nguyen developed a suite of machine learning and data analysis tools for the HWTeng-Teaching/202509-ML-FinTech repository, focusing on financial technology use cases such as fraud detection and credit risk modeling. She built Jupyter notebooks for clustering, regression, and statistical modeling, integrating Python-based data scaling, simulation, and visualization to support reproducible experiments and stakeholder education. Her work included onboarding documentation, environment setup, and the creation of educational materials in PDF and PowerPoint formats. By emphasizing reproducibility, maintainability, and clear documentation, Thuy enabled efficient collaboration and robust validation workflows, demonstrating depth in both technical implementation and project organization.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
22Total
Bugs
1
Commits
22
Features
9
Lines of code
48,550
Activity Months4
Your Network
19 people
Work History
December 2025
7 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — Focused on delivering data science tooling and stakeholder education for the FinTech ML project within HWTeng-Teaching/202509-ML-FinTech. No major defects reported. Key outcomes include a polynomial regression analysis notebook with cross-validation for optimal degree selection and visualization, and comprehensive fraud detection/credit risk educational materials to support explainable AI initiatives. These deliverables advance data-driven wage insights, risk education for stakeholders, and reproducibility across the team.
7 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — Focused on delivering data science tooling and stakeholder education for the FinTech ML project within HWTeng-Teaching/202509-ML-FinTech. No major defects reported. Key outcomes include a polynomial regression analysis notebook with cross-validation for optimal degree selection and visualization, and comprehensive fraud detection/credit risk educational materials to support explainable AI initiatives. These deliverables advance data-driven wage insights, risk education for stakeholders, and reproducibility across the team.
December 2025
November 2025
7 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary focusing on delivering repeatable data-analysis notebooks and modeling resources for ML/FinTech projects, enabling weekly data insights, robust validation, and broad educational materials for stakeholders.
November 2025
7 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary focusing on delivering repeatable data-analysis notebooks and modeling resources for ML/FinTech projects, enabling weekly data insights, robust validation, and broad educational materials for stakeholders.
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for HWTeng-Teaching/202509-ML-FinTech focusing on clustering experiments and visualization assets to accelerate ML demos and explorations in the FinTech domain.
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for HWTeng-Teaching/202509-ML-FinTech focusing on clustering experiments and visualization assets to accelerate ML demos and explorations in the FinTech domain.
October 2025
September 2025
5 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) monthly summary for HWTeng-Teaching/202509-ML-FinTech: Key features delivered include project documentation scaffolding for xxxx_NAME/2028_Beth and the addition of an initial README with team contact details, establishing a repeatable onboarding and codebase template. Major bug fixed: resolved a ModuleNotFoundError for pandas in College_HW.ipynb by addressing environment/setup gaps and adding missing files to the notebook environment. Overall impact: improved onboarding efficiency, reproducibility, and reliability, enabling faster development cycles and clearer collaboration across the ML-FinTech project. Technologies/skills demonstrated: repository scaffolding, Python/Jupyter notebook environment management, Git-based documentation and commit hygiene, onboarding and documentation best practices, and cross-team collaboration.
September 2025
5 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) monthly summary for HWTeng-Teaching/202509-ML-FinTech: Key features delivered include project documentation scaffolding for xxxx_NAME/2028_Beth and the addition of an initial README with team contact details, establishing a repeatable onboarding and codebase template. Major bug fixed: resolved a ModuleNotFoundError for pandas in College_HW.ipynb by addressing environment/setup gaps and adding missing files to the notebook environment. Overall impact: improved onboarding efficiency, reproducibility, and reliability, enabling faster development cycles and clearer collaboration across the ML-FinTech project. Technologies/skills demonstrated: repository scaffolding, Python/Jupyter notebook environment management, Git-based documentation and commit hygiene, onboarding and documentation best practices, and cross-team collaboration.
Activity
Loading activity data...
Quality Metrics
Correctness91.4%
Maintainability88.2%
Architecture87.2%
Performance87.2%
AI Usage23.6%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPDFPowerPointPython
Technical Skills
AIData AnalysisData ScalingData SimulationData VisualizationDocumentationHierarchical ClusteringJupyter NotebookK-Means ClusteringMachine LearningPrincipal Component Analysis (PCA)Pythondata analysisdata visualizationfinancial technology
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline