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Lily089

PROFILE

Lily089

Over a two-month period, this developer contributed to the H6WU6R/DSA3101-Group-4 repository by building a containerized analytics workflow for customer segmentation. They established a modular deployment structure using Docker and Python, enabling repeatable deployments and scalable onboarding. Their work included implementing K-Means clustering and PCA for segmentation, with explicit data export paths to support downstream analysis. They restored lost source code after an accidental deletion, adding safeguards to maintain reliability. Additionally, they enriched the customer segmentation dataset by bulk-adding new data, improving analytics readiness. The work demonstrated solid data engineering and DevOps practices, with attention to maintainability and data quality.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

8Total
Bugs
1
Commits
8
Features
3
Lines of code
32,223
Activity Months2

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

Monthly summary for 2025-04 focusing on business value and technical achievements. The primary delivery this month was the Customer Segmentation Data Enrichment feature for the H6WU6R/DSA3101-Group-4 repository, enabling richer segmentation analytics by bulk-adding new customer rows to A1-segmented_df.csv and enhancing the A1_Customer_Segmentation dataset. No major bugs were reported this month. The work demonstrates solid data engineering practice and contributes to improved targeting, analytics readiness, and data quality.

March 2025

7 Commits • 2 Features

Mar 1, 2025

March 2025 monthly summary for H6WU6R/DSA3101-Group-4 focusing on business value, reliability, and analytics capability. Delivered foundational containerization and repository organization to enable repeatable deployments and scalable team onboarding. Implemented Dockerfile scaffolding, repository naming conventions for src, and modular deployment structure. Introduced a customer segmentation analytics workflow (K-Means and PCA) with clearly defined data export paths to support downstream analysis and reporting. Restored source code after an accidental src directory deletion, implementing a safety rollback and safeguards to prevent recurrence and maintain uptime.

Activity

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Quality Metrics

Correctness77.4%
Maintainability77.4%
Architecture75.0%
Performance70.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

DockerfilePythoncsv

Technical Skills

Build ProcessClusteringContainerizationData AnalysisData EngineeringData PreprocessingDevOpsDockerFeature ScalingK-MeansMachine LearningOne-Hot EncodingPrincipal Component Analysis (PCA)Python DevelopmentRefactoring

Repositories Contributed To

1 repo

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

H6WU6R/DSA3101-Group-4

Mar 2025 Apr 2025
2 Months active

Languages Used

DockerfilePythoncsv

Technical Skills

Build ProcessClusteringContainerizationData AnalysisData EngineeringData Preprocessing

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