Shopee International · Propensity modelling · 2021 to 2023
Resellerpropensityfor Shopee International Indonesia
Ranked users by their likelihood to become resellers, so business development called the right people first.
01 / 03
Everyone looks the same
A long list of users, in no useful order.
02 / 03
Ranked by propensity
The model scores each user's likelihood to become a reseller.
03 / 03
Start at the top
Business development works the highest-propensity users first.
The project
- Client
- Shopee International Indonesia
- Role
- Data Scientist, Shopee International
- When
- 2021 to 2023
- Discipline
- Propensity modelling
- Tools
- Python
- Classification
- Ranking
The situation
Business development needed to know which users to prioritise as potential resellers.
What I built
- Reseller propensity models to support business development targeting
What changed
Helped prioritise high-impact users and drive incremental revenue growth.
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