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rkirti275

PROFILE

Rkirti275

Kirtiratnawat Ratnawat developed foundational data assets for credit risk modeling in the CreditPathAI repository, focusing on data readiness and repository maintainability. He assembled and loaded a loan default dataset, performed initial statistical analysis, and conducted exploratory data analysis using Python, Pandas, and Seaborn. His work included generating a comprehensive EDA report to document dataset characteristics and modeling implications, supporting downstream model development. Kirtiratnawat also improved repository hygiene by removing obsolete artifacts and updating configuration files, ensuring reproducibility and clarity for future contributors. The work demonstrated depth in data engineering and analysis, laying groundwork for robust credit risk modeling pipelines.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
2
Lines of code
460,578
Activity Months1

Work History

August 2025

6 Commits • 2 Features

Aug 1, 2025

August 2025 focused on data readiness and repository hygiene to accelerate credit risk modeling development. Delivered a ready-to-use loan default dataset with initial statistics and an EDA report, and cleaned up artifacts to ensure reproducibility and maintainability.

Activity

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Quality Metrics

Correctness96.6%
Maintainability96.6%
Architecture93.4%
Performance93.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSVPythonText

Technical Skills

Data AnalysisData EngineeringData ManagementData VisualizationExploratory Data AnalysisExploratory Data Analysis (EDA)Jupyter NotebookMatplotlibNumPyPandasSeaborn

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

springboardmentor891v/CreditPathAI

Aug 2025 Aug 2025
1 Month active

Languages Used

CSVPythonText

Technical Skills

Data AnalysisData EngineeringData ManagementData VisualizationExploratory Data AnalysisExploratory Data Analysis (EDA)