halley1116/2025_DA_study
Jan 2025 – Feb 2025
2 Months active
Languages Used
Python
Technical Skills
Data AnalysisJupyter NotebookPandasData PreprocessingData VisualizationFastText
hyeonu12
PROFILE
Hyeonu12
Developed two Jupyter Notebooks in the halley1116/2025_DA_study repository over a two-month period, focusing on data analysis and natural language processing workflows. The first notebook enabled self-service exploratory data analysis on insurance data, leveraging Python and pandas to load datasets, compute descriptive statistics, and examine relationships between medical and lifestyle factors. The second notebook established an end-to-end sentiment analysis pipeline, incorporating data preprocessing, visualization with word clouds, and integration of FastText and logistic regression models for NLP tasks. Both projects emphasized reproducibility and extensibility, providing a structured foundation for future analytics, model experimentation, and actionable business insights.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
3,031
Activity Months2
Your Network
1140 peopleWork History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for halley1116/2025_DA_study: Delivered a Sentiment Analysis Notebook enabling end-to-end sentiment analysis workflow with data loading, preprocessing, visualization, and NLP model integration (FastText + Logistic Regression). The work enhances data science experimentation, reproducibility, and actionable insights from customer feedback. This aligns with business goals by enabling faster sentiment analytics and better product feedback loops.
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for halley1116/2025_DA_study: Delivered a Sentiment Analysis Notebook enabling end-to-end sentiment analysis workflow with data loading, preprocessing, visualization, and NLP model integration (FastText + Logistic Regression). The work enhances data science experimentation, reproducibility, and actionable insights from customer feedback. This aligns with business goals by enabling faster sentiment analytics and better product feedback loops.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for halley1116/2025_DA_study. Delivered the Insurance Data Analysis Notebook (JHW_3.ipynb), enabling self-service exploratory data analysis on an insurance dataset using pandas. Implemented data loading, descriptive statistics, and exploration of relationships between medical and lifestyle factors. This work positions the project for data-driven underwriting insights and analytics automation. Major bugs fixed: none reported this month.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for halley1116/2025_DA_study. Delivered the Insurance Data Analysis Notebook (JHW_3.ipynb), enabling self-service exploratory data analysis on an insurance dataset using pandas. Implemented data loading, descriptive statistics, and exploration of relationships between medical and lifestyle factors. This work positions the project for data-driven underwriting insights and analytics automation. Major bugs fixed: none reported this month.
Activity
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Quality Metrics
Correctness66.6%
Maintainability66.6%
Architecture60.0%
Performance60.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData PreprocessingData VisualizationFastTextJupyter NotebookLogistic RegressionMatplotlibNLPPandasSeabornWordCloud
Repositories Contributed To
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