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Goh Jiale

PROFILE

Goh Jiale

Over five months, Chee Teh contributed to the drshahizan/HPDP repository by building data engineering pipelines, documentation scaffolding, and real-time analytics features. He established scalable asset ingestion workflows and standardized project documentation using Markdown and Git, improving onboarding and maintainability. Chee implemented a real-time Reddit sentiment analysis pipeline leveraging Python, Kafka, Spark, and Supabase, enabling end-to-end streaming and storage of processed data. He also introduced benchmarking for big data handling with Pandas, Dask, and Polars, supporting informed workflow decisions. His work demonstrated depth in data engineering, cloud services, and documentation governance, resulting in a robust, well-structured project foundation.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

89Total
Bugs
3
Commits
89
Features
18
Lines of code
10,187,454
Activity Months5

Work History

July 2025

6 Commits • 2 Features

Jul 1, 2025

Month: 2025-07 — Focused on delivering business value through real-time data processing and improved documentation. Key outcomes include an end-to-end sentiment analysis pipeline from Reddit to Supabase, plus updated CrawlOps project docs. No major bugs reported this period.

June 2025

8 Commits • 2 Features

Jun 1, 2025

June 2025 performance summary for drshahizan/HPDP. Focused on establishing robust documentation scaffolding for Assignment 2 and introducing performance-oriented big data strategies with cross-tool benchmarking and a hands-on notebook. This work enhances onboarding, reproducibility, and data workflow decision-making, while laying the groundwork for scalable data processing across Pandas, Dask, and Polars.

May 2025

66 Commits • 11 Features

May 1, 2025

May 2025 performance summary for the drshahizan/HPDP repository focused on establishing a scalable asset ingestion pipeline, foundational project scaffolding, and documentation discipline. Delivered initial asset upload scaffolding, seeded the repository with project skeletons and documentation placeholders, and launched a consistent readme and documentation update workflow. Cleaned legacy clutter by removing obsolete dataset files and scripts, reducing risk and maintenance overhead. These efforts create a solid base for asset management, faster onboarding, and clearer governance, enabling reliable future feature delivery with improved traceability and business value.

April 2025

4 Commits • 2 Features

Apr 1, 2025

April 2025 monthly summary for drshahizan/HPDP focusing on branding hygiene and data accuracy improvements. Delivered standardized brand assets and naming conventions for the Jiale logo, and updated documentation to correct student IDs while aligning with the current web scraping tool stack. Overall impact: Improved branding consistency, data integrity, and maintainability of documentation, enabling faster onboarding and reducing follow-up corrections. These changes lower operation risk and set a solid foundation for scalable asset management and documentation practices. Technologies/skills demonstrated: asset management, markdown/documentation discipline, version control hygiene, and awareness of the current web scraping stack used in proj1.md.

March 2025

5 Commits • 1 Features

Mar 1, 2025

March 2025: Documentation-focused delivery and repo hygiene improvements for the HPDP project. Key features delivered include scaffolding and enrichment of the project README to improve documentation scaffolding and student profile visibility, with placeholder documentation files and detailed student profiles. Major hygiene fix involved repository cleanup by removing an unused student directory to reduce confusion. Impact includes enhanced onboarding, clearer visibility of student contributions, and a cleaner, more maintainable repository. Technologies and skills demonstrated include Markdown/documentation best practices, Git-based documentation governance, and diligent repo maintenance supporting collaboration and business value.

Activity

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Quality Metrics

Correctness98.8%
Maintainability98.4%
Architecture98.4%
Performance97.4%
AI Usage21.2%

Skills & Technologies

Programming Languages

BashCSVMarkdownPythonSQLShell

Technical Skills

API IntegrationBeautifulSoupBig DataBig Data HandlingCloud ServicesDaskData AnalysisData CleaningData CollectionData EngineeringData EntryData ExtractionData HandlingData InspectionData Loading

Repositories Contributed To

1 repo

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

drshahizan/HPDP

Mar 2025 Jul 2025
5 Months active

Languages Used

MarkdownCSVPythonSQLShellBash

Technical Skills

DocumentationAPI IntegrationBeautifulSoupData AnalysisData CleaningData Collection

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