Built momentum in the first five weeks of a consumer product launch.
Product & Growth Analytics Lead · London
I turn behavioural data into product decisions that compound.
With 5+ years across consumer apps, manufacturing and data science, I connect strategy, experimentation and scalable analytics to measurable growth.

Product thinking, backed by evidence.London · United Kingdom
Impact in numbers
Evidence over theatre.
The work matters when the numbers move—and when teams understand why they moved.
Improved the journey from first visit to completed registration.
Made growth spend work harder through measurement and optimisation.
Applied experiment-led analysis to a complex manufacturing process.
How I work
The best analytics does more than explain the past. It gives a team the confidence to act.
I work at the intersection of product, data and growth—close enough to the customer journey to find the signal, and close enough to the business to make it useful.
Start with the decision
Define the product or commercial choice first, then work backwards to the evidence that will genuinely change it.
Build a shared measurement language
Create KPIs, event frameworks and reporting rhythms that product, engineering and growth teams can trust together.
Turn analysis into momentum
Translate complex behaviour into clear recommendations, practical experiments and an honest view of what to do next.
Selected impact
From signal to system.
Three examples of the same operating principle: frame the right question, create reliable evidence, then make the next decision easier.
Turning a launch into a measurable growth engine
Connected acquisition, activation and retention signals to focus the team on the changes with the greatest customer and commercial value.
Giving teams one dependable view of product performance
Created a practical measurement rhythm around shared KPIs, attribution and decision-ready reporting so teams could move from questions to action faster.
Using experimentation to unlock manufacturing performance
Translated production data into testable improvement opportunities, helping technical and operational teams raise output while controlling cost.
Experience
Built across contexts.
A career spanning consumer technology, high-volume operations and the analytical foundations behind both.
Jan 2026 — Present
Product Analyst Lead
Frog Social / Novum StudioLondon, UK
Lead product and growth analytics, turning behavioural data into product priorities, experiments and shared measures of success.
- Promoted from Data Analyst to lead the product analytics function.
- Partner with product, growth and leadership teams to connect evidence with roadmap decisions.
- Shape KPI frameworks, user-journey analysis and experimentation from question through recommendation.
Jul 2024 — Jan 2026
Data Analyst
Frog Social / Novum StudioLondon, UK
Built the measurement foundation for product launches, acquisition and retention, making performance visible and actionable.
- Supported a launch that acquired 30K users in five weeks.
- Helped lift registration by 18%, key-event engagement by 12% and one-month retention by 23%.
- Reduced cost per acquisition by 25% and improved reporting efficiency by 50%.
May 2019 — Nov 2021
Data Analyst
Zhen Ding TechnologyTaiwan
Applied experimentation and process analytics to improve performance in a high-volume manufacturing environment.
- Improved production yield by 70% through data-led process optimisation.
- Delivered a 30% process improvement by translating operational data into testable actions.
- Contributed to $1M in cost reduction through evidence-based production decisions.
Sep 2018 — Mar 2019
Business Analyst
Robotelf TechnologiesTaiwan
Connected customer behaviour and commercial data to clear recommendations for digital growth.
- Analysed the website journey to identify opportunities across discovery and conversion.
- Helped increase website sales by 15% through insight-led improvements.
Education
MSc Data Science
University of Sheffield · Sheffield, UK
Sep 2022 — Jan 2024
Graduated with a 2:1.
BBA Statistics
Tunghai University · Taichung, Taiwan
Sep 2013 — Sep 2017
Built a foundation in statistics, analysis and business decision-making.
Projects
Curiosity, made useful.
Independent work where data science meets a real decision—from player selection to language classification.
Fantasy Recommendation, view project on GitHub (opens in a new tab)
A Streamlit app that uses league settings, weighted statistics and recent performance to recommend the strongest available fantasy-basketball players.
02NLP Fake News, view project on GitHub (opens in a new tab)
A natural-language-processing project that compares classification approaches for distinguishing authentic and misleading content.
03Yahoo Fantasy Basketball, view project on GitHub (opens in a new tab)
A notebook-led workflow for weekly matchup reporting, player analysis and clearer roster decisions.
Capabilities
Strategy with technical depth.
A toolkit built to move fluidly from a leadership question to a defensible analysis—and back to a clear recommendation.
Product & growth
- Product analytics
- Growth analytics
- Funnel analysis
- Cohort analysis
- Attribution
- KPI frameworks
- Cross-functional leadership
Experimentation
- A/B testing
- Hypothesis design
- Statistical analysis
- Retention analysis
- User-journey analysis
- Insight synthesis
Data engineering
- SQL
- Python
- PySpark
- dbt
- Data modelling
- Data quality
- ETL pipelines
BI & visualisation
- Tableau
- Power BI
- Streamlit
- Looker
- Dashboard design
- Insight storytelling
Cloud & platforms
- BigQuery
- Redshift
- OpenSearch
- Azure Synapse
- Databricks
- Firebase
Leadership
- Product strategy
- Stakeholder communication
- Roadmap support
- Decision frameworks
- Team leadership
- Go-to-market analysis
Microsoft Certified: Azure AI Fundamentals
Microsoft
Let's connect
Have a decision that needs better evidence?
I'm always glad to meet people working on ambitious products, thoughtful growth problems and analytics teams that want to raise the quality of their decisions.