Summary
Tsung Wu is a data scientist with nine years of cross-disciplinary experience building end-to-end analytics systems, from data engineering and web dashboards to statistical and ML-driven time-series forecasting for trading and operational use. Based in New Taipei, he has applied domain knowledge in commodities and finance to construct a data centre that ingests weather, bunker, price indices and macroeconomic feeds and launched ML-based futures price models used for hedging and procurement insights. His background spans public-sector healthcare analytics—preprocessing 555k+ ambulance incident records and productionising models for service improvement—and academic research into market efficiency and pandemic risk modeling. Technically fluent in Python (pandas, NumPy, scikit-learn, PyTorch, statsmodels), Flask, Docker, Airflow and Git, he also brings backend/DevOps sensibilities from project-based roles. Colleagues describe him as a bridge-builder who combines quantitative rigor with practical productisation, often turning messy multi-source data into actionable internal platforms.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Economics, First Class Degree, Bachelor's degree, Economics, First Class Degree at National Chengchi University
Master's degree, Business Analytics and Management Sciences, Master's degree, Business Analytics and Management Sciences at University of Southampton
Exchange Students, School of Government, Exchange Students, School of Government at Nanjing University