Ryan L.
Lead Data Analyst @Healf
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WORK HISTORY
Lead Data Analyst @Healf
London, GB
Leading Healf’s analytics foundations to scale trusted, self-serve insights and AI-enabled decision-making (dbt model standards, documentation/metric definitions, semantic layer planning, ThoughtSpot/Spotter AI enablement). Delivering unified Growth/Marketing analytics across Google + Meta + Triple Whale + PostHog, including consolidated ThoughtSpot dashboards and improved attribution through UTM implementation and identity stitching in PostHog.Advancing measurement maturity with validated incrementality work model implementation) and stronger experimentation (AB Tests) product analytics (statistical power, outlier handling, significance) to support faster, higher-quality decisions.Improving team scalability and velocity through onboarding and core model documentation, plus data pipeline quality and reliability improvements, reducing reliance on tribal knowledge and manual work.
EDUCATION
UCL
Master of Science, Pharmaceutical Formulation and Entrepreneurship, Pharmaceutics and Pharmaceutical Management
The London School of Economics and Political Science (LSE)
Data Analytics Career Accelerator, Data Analytics
Taipei European School
International baccalaureate (IB)
Imperial Business School
Management
Imperial College London
Bachelor of Science - BS , Biological Sciences with Management
SKILLS
ABOUT RYAN L.
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 & lifeAs 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!
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