Ryan L.

Lead Data Analyst@Healf | Director Board of Directors@AMBERLEY WATERFRONT MANAGEMENT COMPANY LIMITED
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Summary

Data Analyst | Product Obsessed | GenAI/ LLM Integration | Low/No-Code Automation | Python/SQL | Machine Learning | Creating Innovative Solutions to Solve Real-world Problems. Full-stack problem-solver blending data analytics, product intuition with LLM engineering and low/no-code automation. I build human-centred systems that turn messy problems into scalable solutions, giving teams their time back. I am passionate about removing friction from everyday workflows so people can focus on bigger ideas. Every project starts from first principles with a systems-first mindset by first understanding the human context, crafting a streamlined architecture, and iterating until it runs at scale. 🔧 My core expertise lies in: • GenAI & Automation – LLM integration (Llama-cpp, HF) · RAG/pgvector search · Bedrock & Vertex AI · Low/no-code orchestration (n8n, Make.com, Lindy) • Data & Cloud – Python (pandas, scikit-learn, TensorFlow) · SQL/PostgreSQL · Airflow & dbt ETL · AWS & GCP · Tableau & Power BI • Product Leadership – Roadmap ownership · Agile/Scrum · Jira & Confluence · Cross-functional coaching • Multidisciplinary Domain – Bioscience × Business Development × Data & AI 🏆 Flagship achievements • GenAI ETL pipeline – Architected code-based and LLM-driven data workflows with human-in-the-loop QA that auto-extract, deduplicate (> 95 % of records), and summarise HTA data, freeing 60 % of analyst capacity for higher-value work. • Hive Access launch – Product-managed a seven-person cross-functional squad, using Agile sprints and lightweight CI to ship a multi-agency HTA directory in < 8 weeks and sustain 99.9 % uptime. • Digital growth sprint – Rebuilt SEO + content strategy, taking site from unranked to #2 Google, +7-fold increase in traffic plus 3× qualified leads in 2 months 🌱 Leadership, Learning & life As someone who grew up in multiple countries, fluent in English and Mandarin Chinese, I navigate cultural and organisational boundaries with clear communication. I lead through cross-functional collaboration to align engineers, designers, and C-suite stakeholders to tackle complex challenges and meet shared business objectives. I champion continuous learning, leading internal workshops on Git, prompt engineering, and data hygiene, while refining my skills through experimentation with low-code automations that streamline life and work alike. That same curiosity extends beyond work: from DIY, 3D printing and woodworking projects to hiking new trails around London, and staying game-ready in a weekly basketball league while gearing up for a sprint triathlon. 💬 Whether you're building with LLMs, automating workflows, or exploring AI in everyday ops, I’m always up for a conversation. Feel free to connect or reach out!

Work experience

  • Lead Data Analyst

    Healf
    2025.10-Current(10 months)
  • Director Board of Directors

    AMBERLEY WATERFRONT MANAGEMENT COMPANY LIMITED
    2022.09-Current(4 years)
  • Data Analyst

    HTA-Hive
    2024.02-2025.10(2 years)
  • Data Analyst Intern

    Bank of England
    2023.10-2023.11(2 months)
  • Data Analyst

    The London School of Economics and Political Science (LSE)
    2023.03-2023.11(9 months)
  • Commercial Insights Analyst

    Tinkle AI
    2022.09-2023.03(7 months)
  • Business Development and Insights Manager

    Lado Management Consultants
    2021.02-2022.07(a year)
  • Research Consultant - Patient Support Programmes Taiwan

    Pharmaceutical Firm (Confidential)
    2020.09-2021.01(5 months)
  • Team Captain

    ROC Army (Taiwan)
    2020.05-2020.09(5 months)
  • Strategy, Operations and Analytics Internship

    DaVita Kidney Care
    2017.07-2017.08(2 months)
  • Imperial Alumni Callers

    Imperial College London
    2016.10-2016.12(3 months)
  • Taipei Veterans Hospital Biotechnology Institute Research Intern

    Taipei Veterans General Hospital
    2016.06-2016.09(4 months)
  • Activities Coordinator and Team Leader

    PGL Travel
    2015.04-2015.08(5 months)
  • Biomedical Research Intern

    National Yang Ming University
    2014.11-2015.04(6 months)
  • Oncology Research Intern

    Taipei Veterans General Hospital
    2013.02-2014.03(a year)

Educational experience

  • The London School of Economics and Political Science (LSE)

    Data Analytics Career Accelerator, Data Analytics
    2023.01-2023.01
  • UCL

    Master of Science, Pharmaceutical Formulation and Entrepreneurship, Pharmaceutics and Pharmaceutical Management, Distinction (First Class Honors)
    2018.01-2019.01(a year)
  • Imperial College Business School

    Management
    2017.01-2018.01(a year)
  • Imperial College London

    Bachelor of Science - BS, Biological Sciences with Management
    2015.01-2018.01(3 years)
  • Taipei European School

    International baccalaureate (IB), 40/45
    2004.01-2014.01(10 years)
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