FRAME · Finance automation · 2024
Automatedreconciliationfor Wayland Additive
An automated reconciliation system that made Wayland Additive's records more accurate.
01 / 03
Two sets of records
Entries that should agree, kept in different places.
02 / 03
Matched automatically
The system pairs entries that belong together.
03 / 03
Exceptions surface
What doesn't match is flagged, so the records stay accurate.
The project
- Client
- Wayland Additive
- Role
- Data Scientist and AI Engineer, FRAME
- When
- 2024
- Discipline
- Finance automation
- Tools
- Python
- Automation
The situation
Wayland Additive needed more accurate data and a more efficient reconciliation process.
What I built
- An automated reconciliation system
What changed
Better data accuracy and operational efficiency.
Hiring for marketing measurement or customer ML in the UK?
Eligible to work in the UK, no sponsorship needed. Based in London.
The CV is a two-page PDF, rebuilt from this site whenever it changes.
Jihar Gifari · London · jigifari@gmail.com · +44 7985 687426