Map the real process
Find where the work actually breaks before choosing a fix.
Implementation · Business systems · Process & data
I turn business processes
into systems that work.
Open to Implementation Analyst · Business Systems / Process Analyst · Technical Business Analyst · AI Adoption
- Current work
- Data analysis & marketing · Amazon EU & NA
- Education
- MSc Computer Science · UCC
- Toolkit
- Python · SQL · Excel · React
- Direction
- Implementation & business systems
Hi, I’m Jiaming.
Computer Science MSc, University College Cork. I map how a process really runs, then design and build the tool, integration or AI-assisted step that improves it. My current role in European and North American Amazon operations keeps me close to the day-to-day work those systems have to fit.
- MSc Computer Science (Interactive Media)University College Cork · Sep 2024 – Mar 2026
- BSc Applied Mathematics (Data Computation)Taiyuan University of Science and Technology · Sep 2020 – Jun 2024
Turn a process into a tool
From spreadsheet workflows to tools people use.
Connect data and AI into the workflow
Data flows and AI steps, with people in the loop.
Professional experience
Cross-border E-commerce Operations
Triple A internetshops GmbH · Shenzhen
- Run Amazon operations for 8 European marketplaces (incl. UK, DE, FR, IT, ES) and 3 in North America (US, CA, MX), each with 2,000+ ASINs, in a business with eight-figure annual revenue (USD).
- Analyse sales, traffic, fees and competitor data to find the store’s real problems, then fix them through listing copy, localisation and advertising campaigns.
Data Platform Full-stack Engineer
Sun Yat-sen University · Shenzhen
- Co-developed a real-time monitoring platform connecting data ingestion, storage and reporting.
- Worked with InfluxDB and MySQL time-series data for monitoring and anomaly analysis.
Data Analyst & Research Assistant
MaREI, University College Cork · Ireland
- Developed MCDA models to compare tyre-recovery alternatives and make decision criteria explicit.
- Used Python for data cleaning, validation and sensitivity analysis.
Case studies
Problem, constraints, my part, the build, the evidence and the limits.
MCDA Tool ↗
Turned an Excel-based research analysis into a web decision tool where criteria, weights and trade-offs are visible and adjustable.
JavaScript · D3.js · Excel · Node.js
Drone Monitoring ↗
Connects an HTTP API, time-series storage and a WebSocket feed into a live monitoring dashboard (simulated telemetry).
React · WebSocket · InfluxDB · DockerMore projects
MoTai ↗
A local-first writing prototype that connects story context, LLM APIs and author review in one workflow.
Electron · JavaScript · Local JSON · AI APIsConnoisseur ↗
A sourcing workspace bringing requests, quotes and customer case histories together.
Next.js · TypeScript · Tailwind · Mock dataHow I work
Six steps, whatever the fix turns out to be.
- 1
Understand how it runs today
Walk the process with the people who run it.
Experience → - 2
Agree what “better” means
Write requirements and acceptance criteria.
- 3
Design the future state
Map the to-be process and data flow.
Process map → - 4
Build or configure
Build the smallest tool that does the job.
MCDA → - 5
Test and roll out
Test with users, then hand over.
- 6
Measure and improve
Track the result; keep a person in the loop.
MoTai →
Illustrative process map
Weekly performance review: current vs future state
Data is pulled and checked the same way every week; people only look at flagged metrics and decide what to change.
Illustrative example of how I document a process. Not a client deliverable and not company data.
Skills
- Data analysis
- Web & systems
- Data workflows
- Applied AI
- Marketplace tools