Yang Su Email & Phone Number

San Francisco, Ca, Us

Shenzhen, Guangdong, Cn

Shenzhen, Guangdong, Cn

• Drove data science initiatives for top-tier mobile games, including Apex Legends Mobile and Honor of Kings, optimizing gameplay and player experiences.• Orchestrated A/B experiments to enhance mobile game optimization by developing experimentation strategies, executing implementations, and conducting comprehensive deep-dive analytics.• Employed advanced analytical techniques to extract valuable insights in scenarios where conventional A/B experiments were impractical, particularly in cases with network effects.• Developed and deployed cutting-edge machine learning models, authoring production-grade code for real-time model serving, resulting in substantial enhancements to mobile game mechanics.

Hamilton, Bermuda, Bm

• Build end-to-end machine learning models and pipelines at scale to match customers and call-center agents in real-time for large telecom companies and help them improve business objectives (revenues, churn-rate, etc.)• Run model validations, comparisons and visualizations analysis and conduct feature engineering tasks• Communicate and collaborate with different stakeholders (e.g. engineers and customer service team members) regarding production infrastructure as well as model performance

Phoenix, Az, Us

• The Data Incubator Fellowship Program is an immersive, 8-week, full-time data science bootcamp for students with advanced STEM degrees• Completed projects involving web scraping, predictive modeling using various ML models (time series, tree models, KNN, etc.), sentiment analysis of restaurant reviews, distributed computing using Spark, image classification using TensorFlow, among others

New York, Ny, Us

• A highly selective program with a ~10% admission rate that provides aspiring women data scientists with intensive data science trainings, group project opportunities and connections with industrial mentors• Ran sentiment analysis on a dataset of 40,000+ financial news using NLP models (Vader,FinBert) and then built sentiment-based stock portfolios given the sentiment analysis results, seeking for potential ’alphas’• Project poster won the "Best Overall" and "Best Visualization" in the final summit

Seattle, Wa, Us

Selected research projects: Project #1: Life-Cycle Patterns of Stock Market Participation Rate and Risky Share in the United States• Analyzed a panel data set of 50,000+ household portfolios from the Panel Study of Income Dynamics (PSID) in order to estimate how households’ investment behavior varies with age• Identified the effects of age on household investment decision using Probit regressions, parametric restrictions (e.g. de-trended time variables), proxy variables (e.g. used past stock returns to represent cohort effects) and used Heckman’s selection model to account for endogeneity problems in households’ decision makingProject #2: Labor Market Participation and Life-Cycle Asset Allocation• Built, calibrated and ran Monte Carlo simulations on a dynamic portfolio choice model over the life cycle to investigate how labor market participation decisions affect risky asset investment decisions• Solved this rather complicated model using discrete time dynamic programming approach• Increased speed of solving this model by 80%, utilizing Matlab’s parallel computing toolbox and Amazon Web Service’s EC2 serversProject #3: Active Learning: A Case Study on Students of Corporate Sustainability• Designed and conducted student surveys on how active learning activities improved students’ knowledge on corporate sustainability in a large (about 400 students per year), online class for three consecutive years• Used logistic regressions and Pearson’s chi-squared test to analyze the survey data and provide insights on how our online activities influenced students’ sustainability knowledge gains• Presented research posters in the UW Teaching and Learning Symposium from 2017 - 2018

Seattle, Wa, Us

• Taught Introductory Microeconomics and Macroeconomics courses and Introduction to Business• Built course website, prepared course materials, led weekly online lectures, created exams, graded assignments, papers and exams• Nominated for the 2017 University of Washington Excellence in Teaching Award (the highest teaching recognitions at the UW)

• Gathered, classified and maintained financial data for 20+ companies, monitoring paths of loans and daily transactions to perceive and reduce the risks for the bank• Produced periodic credit reports of corporate clients, analyzing their financial health and identifying potential risks for the bank

Doctor Of Philosophy (Phd), Economics

Bachelor Of Science - Bs, Economics And Pure Math

Education record