• Maintained risk management infrastructure such as dashboards and portfolio for > 2 trillion of data of mortgage-backed securities.• Delivered monthly and ad hoc analytical reports with visualization to manage counterparty risk using SAS, MS Excel, and Tableau.• Consolidated reports with Python automation algorithms and saved over $100,000 costs for a global pharmaceutical corporation.• Conducted internal auditing on information risk/security independently for a social network communication corporation.

• Renovated Python scrappers to reflect changes on client’s reports and reduced 95% of time charged for the tasks. • Contributed insights and analytics on Home Mortgage Disclosure Act (HMDA) to help the client understand evolving trends.• Delivered the risk grading algorithm using regression models by Python on Non-Qualified Mortgage (Non-QM) mortgages.• Led Python training sessions for colleagues on data science topics such as predictive regression modeling with visualization.

• Adapted teaching style to unique needs of students, with fields include coding, (Python & R) statistics, math, and writing (ESL)• Assisted students in acquiring better understanding of targeted weak areas within a subject or a subject as a whole• Provided weekly lesson plans to help multiple frequently-visited students preparing for their courses and exams• Presented as one of three tutors who were selected to stay working after a hiring plan change on the graduated tutors

• Facilitated labs to support students’ interoperability between statistical concepts and practice with Microsoft Excel & Rstudio• Assisted instructors to prepare lecture material and homework solutions, evaluate and record grades on Canvas learning system• Offered feedback to students on various methods and technologies to optimize models and algorithms, and improve performance• Advised students who are interested in curriculum in statistics with information of the program and suggestions on career path

• Help organizing the Data Science Campus Tour held at Southern Methodist University• Coordinate for the Dallas Data Science Conference 2018 and the Southern California Data Science Conference 2017• Advertise the events to the public, networking with subject-related colleges, and forecast plans and costs to the managers

• Built the Multi-Factors Quantitative Stock Selection Model and the Fundamentals-Based Stock Selection Model by R and Excel• Fundamentals-Based Stock Selection Model - Generated strategies based on the key fundamentals concerned with company earnings to achieve long-term positive earnings. Retrieved 800K counts of earnings data of Chinese A-shares stock from Wind Financial Terminal for the period of 2011-2017. Mined stocks that tend to pay more dividends, show strong abilities in management, and strong profitability with steady growth. Collected the most sensitive factors and provided investors and industry researchers with new directions for stock selections. Produced 256.92% cumulative return that beating the benchmark index (CSI 300 Index) by 44.56% over 6 fiscal years.• Multi-Factors Quantitative Stock Selection Model - Developed in R to strive for continuous returns in the long-term theoretically base on the Fama-French Multi-Factor Model. Retrieved 1.64M counts of earnings data of Chinese A-shares stock from Wind Financial Terminal with the application of Python. Applied cluster analysis to clear out the potential multi-linearity between the features and to assign weights to each selected factor. Measured the investment preference and periodically delivering dynamic stock portfolio that produce stable positive returns. Produced 338.27% cumulative return which beating the benchmark index (CSI 300 Index) by 58.67% during the 6 fiscal years.• Utilized Bloomberg Terminal and Wind Financial Terminal for data extraction and research in finance and technology industry.• Helped company staff and department head to prepare for roadshows and assist them during in-person meetings on client sites.• Reported modeling progress and proposals on strategic portfolio management directly to the Chief Analyst on a weekly basis.

• Created and managed database exceeding 10TB by SQL on MySQL with Relational Database Management System (RDBMS)• Conducted two projects: Airbnb Market Growth Analytics and 2016 Philadelphia Auction on Real Estate utilizing Python and R• Compiled two chapters of content regarding Data Storage & Management and Data Cleaning for the company’s training program • Collaborated with the Chief Architect to promote the click rate of company’s weekly group email by 20% using A/B Testing

• Provided international applicants with general advisory services through online broadcast sessions, E-Mail, and phone calls• Accounted for applicants’ demands for admissions, such as official transcripts, test scores, and other relative documents• Engaged prospective students with the University by conversations in person with interpersonal skills and diplomatic profession• Cultivated strong relationships between the student team and advisers with diverse cultural backgrounds to effectively communicate

• Assisted the Director of Advising and Student Services with professional academic advisory to students and document management• Took charge of workshops for students on academic probation to help them managing school-life balance and resuming good status

•Operated and to troubleshooted for customers in the personal e-banking system •Participated in the designing and development of the new direct bank system launched since Oct 30, 2015•Completed an analytical research project on topic of the Integration of Beijing, Tianjin and Hebei

• Served at the MathCats Organization (Club) under the Mathematics Department• Advised the club president on setting membership dues to keep the club’s budget balanced• Managed over 1000 USD in revenue and expenditures for the club and planned monthly club meetings• Responsible for securing the cash and tracking all transactions were done in the correct procedures

• Served as a student employee at the International Student Service office• Organized International Students Orientation and hosted over 1,000 students for the Fall 2012 semester• Assisted the advisers and advised the new students regarding registration, academics, and campus life

• Served at the Association of Chinese Students and Scholars (ACSS)• Collaborated with several international student associations to plan multi-cultural events• Participated the organization of new coming Chinese student contact information list for the Consulate-General of the People’s Republic of China in Los Angeles