A data scientist with solid background in theoretical physics and statistics. Strengths include: • Extensive research experience with quantitative analytical knowledge and skills. Capability of critical thinking. • Strong background in math, statistics and machine learning. Expertise in linear ...more

A data scientist with solid background in theoretical physics and statistics. Strengths include: • Extensive research experience with quantitative analytical knowledge and skills. Capability of critical thinking. • Strong background in math, statistics and machine learning. Expertise in linear and nonlinear regression model analysis, multivariate data analysis and time-series forecasting. A deep understanding of survival analysis, experimental design and Bayesian analysis. • Hands-on experience on SAS, Mathematica, Matlab and Excel. Proficiency in R. Real-case experiences of big data analytics including Hive, Pig on Hadoop, Tableau and Netezza. • CFA level II candidate. Solid expertise in financial analysis including fixed income analysis, scenario analysis, derivative analysis and various valuation models. • Strong written and verbal communication capabilities. Excellent experience with presentation and documentation writing. • Energetic, highly self-motivated, conscientious problem-solver, fast learner and team worker. Practical leadership experiences. Ability to work under pressure in a fast-paced environment.less