Business & Data Analytics · Finance & Operations
MSc Business Analytics, Nanyang Technological University · Singapore
LinkedIn
I'm interested in how data supports day-to-day business decisions, especially in payments and financial operations. I'm looking for full-time analyst and operations roles in Singapore.
| Project | What it does |
|---|---|
| Payment Reconciliation | Compares ledger, payment processor and bank records; tracks differences and produces daily reports. |
| Revenue & Commission | Calculates commissions from cash receipts, handles shared deals and refunds, and preserves closed-month statements. |
| Merchant Onboarding | Follows an application through a policy change, requests missing documents and checks that approval uses the current version. |
| Ecommerce Analytics | Explores orders, delivery performance, lead scoring and advertising experiments in an offline dashboard. |
| Ad Ops Approval Workflow | Pauses generated proposals for human approval and handles duplicate requests and interrupted runs using a simulated action ledger. |
Each project includes screenshots, a short walkthrough and setup instructions. These are independent projects; the repositories describe their datasets, assumptions and testing.
Tools used: SQL, Python, SQLite, DuckDB, dbt, Flask, FastAPI, LangGraph and React.
- Credit portfolio risk — concentration, early-warning indicators and stress analysis.
- AML transaction monitoring — rules and scored alerts on synthetic data.
- AML monitoring console — a browser interface for reviewing sample alerts. Open demo
- SME survey panel — survey data preparation and modelling in R.
- PDF to audiobook — a Python text-to-speech utility.