Wen Jian


Data Science Projects

For me, the best way to learn data science is to really implement something. Here's a collection of data science projects I've worked on at night alongside my day job.

Personal data science projects
I've picked up a lot of data science skills through Data Science For Good Fellowship and volunteering for DataKind, helping charities gain insight into data they hold.

Fraud detection

Predicting corruption in public procurement using machine learning

Network analysis

Investigating gender imbalance among academic economists

Scraper

Scraping large scale bibliometric metadata on economics publications

Classifier

Using image recognition to improve gender classification of names

Volunteer

Helping charities decode their data during weekend data dive.

Algo trader

Personal trading bot - algorithmic trading on Interactive brokers


Commercial Data Science
Some data science work I've done that have been commercialised.

EWS

Develop a prototype early warning system for vulnerable groups going into credit default

Geospatial

Develop a software for modelling market shares for local areas in a large scale supermarket merger