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  • Malaysia

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LeombE/README.md

Hi, I'm Leo Cheng Hui 👋

Final-year Decision Science student building practical data products, automation pipelines and AI-assisted research systems.

Target: Data Analyst / Data Scientist Internship · Analytics Engineering · Data Automation

All Projects · GitHub Insight Radar · Malaysia Flight Deal Radar · AI Signal Brief

About me

I build portfolio-grade projects that turn messy information into structured decisions.

My work focuses on:

  • Data analysis and research automation
  • Python pipelines and structured reporting
  • Dashboard-ready datasets and decision systems
  • GitHub intelligence, internship intelligence and market research
  • Clean documentation that helps technical reviewers understand the project quickly

Featured portfolio projects

Project What it proves Stack / skills
AI Signal Brief Offline-first AI intelligence pipeline with canonical JSON reports, validation, static report rendering and CI-ready quality checks. Python, JSON, validation, automation, GitHub Actions
Malaysia Flight Deal Radar Flight-deal radar using Cloudflare Workers, D1, cached fare calendars, provider guardrails, scoring logic and demo-ready data flow. TypeScript, Cloudflare Workers, D1, API design, testing
GitHub Insight Radar Repository intelligence system for finding useful open-source projects with audience-based scoring, reports and dashboards. Python/HTML, scoring, dashboards, research automation
Forbes Billionaire Research Framework Research framework for annual billionaire wealth-growth analysis, citation QA, structured metrics and business empire reports using licensed data. Python, data research, metrics, citation QA
Malaysia DA Internship Agent Internship intelligence project for tracking Malaysia data analyst opportunities, skills, companies and application signals. Python, job-market research, automation

Core skills

Data analysis

Python · pandas · SQL · Excel / Power Query · data cleaning · exploratory analysis · reporting

Data products

Dashboards · scoring models · structured datasets · API-backed systems · automation workflows

Engineering habits

GitHub Actions · testing · documentation · reproducible pipelines · public-readiness checks

Best starting points

For recruiters and HR:

  1. Start with Malaysia Flight Deal Radar for a full-stack data product.
  2. Open GitHub Insight Radar for data/research automation.
  3. Open AI Signal Brief for pipeline structure, validation and documentation quality.

For technical reviewers:

  1. Check the README structure.
  2. Review the data flow or architecture section.
  3. Look for tests, validation, reproducibility and clear project status.

Current focus

  • Preparing for Data Analyst internship roles in Malaysia
  • Upgrading each pinned repository into a case study style portfolio project
  • Improving documentation, sample outputs, validation and reproducible workflows

Contact

Pinned Loading

  1. ai-signal-brief ai-signal-brief Public

    Offline-first AI intelligence pipeline with JSON reports, validation, static rendering, GitHub Actions and public-readiness checks.

    Python

  2. malaysia-flight-deal-radar malaysia-flight-deal-radar Public

    Cloudflare Workers flight-deal radar with D1, cached fare calendar, deal scoring, provider guardrails, API and demo data.

    TypeScript

  3. github-insight-radar github-insight-radar Public

    GitHub repository intelligence radar with audience-based scoring, quality gates, reports and dashboard-ready outputs.

    HTML 1

  4. forbes-billionaire-research-framework forbes-billionaire-research-framework Public

    Python research framework for billionaire wealth-growth metrics, citation QA and structured business empire reporting.

    Python

  5. malaysia-da-internship-agent malaysia-da-internship-agent Public

    Malaysia data analyst internship intelligence project for tracking roles, skills, companies and application signals.

    Python