Ken Tan
Data Scientist
Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolKen Tan is a data scientist and statistician with nine years' experience turning large and messy datasets into actionable models, blending academic rigour from a Warwick MMath with hands-on production work in Python. He has built recommender systems, trading algorithms and market makers for prediction markets, and has experience managing Hadoop clusters and scraping live sports data to fuel analytics and betting models. Comfortable across the full ML stack—from classical time series and Bayesian forecasting to neural networks and TensorFlow—he also optimizes performance with Cython and multiprocessing. Notably, his background in actuarial/financial mathematics and a dissertation on stochastic differential equations inform practical solutions for market efficiency and automated trading problems.
9 years of coding experience
1 year of employment as a software developer
Master of Mathematics, Operational Research, Statistics & Economics, 1st class, Master of Mathematics, Operational Research, Statistics & Economics, 1st class at University of WarwickA-Levels, A-Levels at HELP AcademyGithub contributions (1)
tankenwei/pyssa
Nov 2016 - Dec 2016
Contributions:17 commits, 14 pushes, 1 branch in 1 month
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