I will detect unhappy customers automatically
About this gig
I build automated AI pipelines that turn raw text feedback into structured, actionable insight, without manual triage.
I recently architected a production sentiment analysis system: an n8n workflow that ingests live app reviews, scores each one using a DistilBERT AI model, automatically flags critical issues, and surfaces everything in a live dashboard. Zero manual intervention is required after setup. You can see the full build and live demo linked on my profile.
What I can build for you:
- Sentiment or intent classification on your own data (reviews, support tickets, survey responses, social mentions)
- Automated workflows in n8n that route results to where you need them (spreadsheet, email, Slack)
- A live dashboard so you can see trends over time, not just a one-off report
Background: 20+ years in product, data and operations roles across Silicon Valley, Hong Kong, APAC and London. I focus on pipelines that solve your actual operational problem, not just technically impressive automation.
Message me with your data source and what decision you're trying to make from it, and I'll tell you honestly whether this is the right fit before you order.
Get to know Leo Chan
AI automation and data pipelines with n8n
- FromUnited Kingdom
- Member sinceJul 2026
Languages
English, Chinese
My Portfolio
FAQ
Do you need access to my data source?
Yes, I'll need either sample data or API/export access to build and test against your real data before delivery.
Can you customise the alert thresholds?
Yes, all triage logic (what counts as critical, where alerts go) is configured to your needs, not a fixed template.
What if I don't know exactly what I need?
Message me first. I'll help you scope it before you order, so you're not paying for the wrong package.

