I’m a Columbia SIPA-QMSS double Master’s graduate and Fulbright Scholar with deep interests in data science and quantitative applications to economic policy, international trade and financial markets. Aussie-Singaporean. Food, travel and nature lover. Always curious. Currently working as a senior research associate at M Science.
Understanding far-right networks using Wikipedia data - paper
Flood classification using satellite data - presentation
Applied econometrics
New measurements of inequalities in public transit accessibility - Shiny app
Time series analysis of Australian inward FDI - paper
Empirical analysis of municipal broadband restrictions - policy memo
Political economy
Congressional FTA voting and import competition - policy brief
Analyzing partisanship in America through language - Shiny app
Private sector participation in Europe's pivot away from Russian gas - report
Technical Skills ►
I am most comfortable/skilled in data mining with R, Python/PySpark, SQL, Tableau and Excel, with experience applying them across a variety of use cases and subject domains. I also have proficiency in the following:
Skill area
Technologies
Data Visualization
Tableau, Shiny, D3, Dash
Databases
MySQL, MongoDB, Neo4j, MS Access
Geospatial
QGIS, Leaflet, GeoPandas, GeoDa
Machine Learning
Scikit-learn, TensorFlow, PyTorch
Econometrics & Statistics
R, Stata, EViews
Cloud Services
AWS, GCP, Snowflake
Big Data & Workflow
Databricks, PySpark, Airflow
Web Development
HTML, CSS, JS, Flask
Version Control
Git, Github
Qualifications ►
Master of International Affairs - International Finance & Economic Policy (Columbia SIPA)
Master of Arts - Applied Data Science (Columbia QMSS)
Bachelor of Philosophy (Hons) - Economics, Finance (UWA)