• Engaged in a large advisory project in performance improvement to client: PingAn Bank• Developed and implemented insightful customer analytics, including customer churnanalysis, customer segmentation, customer relationship management• Performed complex data analysis and visualization on retail banking customer andtransaction data and presented findings to the managers and client• Prepared daily, weekly, and monthly performance evaluation reports by using Excel,SQL and SAS• Created data mining models to analyze customer and product data by using SASEnterprise Miner• Assisted in developing pricing, promotion, channel and product strategies• Performed web mining to scrape data from websites to collect branch addressinformation using Python• Experienced with big data technologies – Hadoop, Hive, noSQL/SQL databases to storeand query data• Designed, tested, and run Automation/ Scheduling SAS Tasks on a remote server

• Organized and supervised undergraduate students lab sessions for R training• Graded and provided both oral and written feedback to students• Provided assistance and tutored undergraduate students in the Statistics Help Center• Conducted academic presentations and reports to fellow colleagues and faculties in the Department of Mathematics & Statistics• Prepared theoretical documentations for the thesis research in statistical inference fields

• Processed bill transactions, discounts, capital loans, and letter of guarantee for commercial clients• Performed financial analysis, credit scoring, and risk analysis to help decision making