2018.1 - present• Developed anti-fraud rules with rule-extraction from CART/ Regularized Random Forest. Achieved a decrease of 20% in transaction disturb rate while keeping same level of recall rate of fraudulent transaction• Feature extraction and derivation from trading behavior, LBS, devices and other data sources to support customer marketing and application scorecard development (XGboost) for personal loan product• Understood offline collection business scenario, analyzed user behavior and built customer segmentation model with K-means++ to help differentiated marketing • Summarized the analytical needs from various departments, conducted data cleansing/manipulation/feature extraction and designed customer label system2017.1-2017.12• P2P merchants risk modeling using Random Forest + SMOTE + Leave-One-Out to overcome sample imbalance• Trained face verification model using OpenFace framework and achieved TAR>97% under FAR<0.01% and the model was applied in both 1-to-1 and 1-to-N scenario2016.1-2016.12• Used CNN to reject fake e-signature and solved generalization problem caused by location/grayscale of different e-signature• Ad-hoc analysis with business departments on topics including customer churn prediction, marketing anti-cheating, abnormal merchant detection and so on 2015.7-2015.12• Automated the operation reports using Python and analyzed the fluctuations in key indicators. Assisted in the writing of 2015 “White Paper on Shanghai Internet Credit Service Industry”

• Explored behavior of credit report querying users, extracted features of abnormal querying patterns and set up expert rules to detect illegal querying • Assisted with data modification/extraction tasks and improved the contents and statistical caliber of business credit reports • Analyzed corporate credit data quality by perspective of integrity, timeliness, accuracy and relevancy, and developed data quality scoring framework

• Perform data entry, cleaning, and quality validation for homeless clients’ data in Philadelphia’s Homeless Management Information System (HMIS)• Compile statistics, timelines, tables and graphs for office’s reports and reviews• Analyze the Transitional Housing program data to determine the characteristics of homeless families most likely to find permanent housing using SPSS• Conduct literature reviews around policies and practices relevant to urban homelessness

• Conducted secondary research to collect information about clients’ business and related industry background using the Internet, academic and other published data sources• Assisted with the preparatory work for field operations by recruiting and verifying interviewees, and establishing research timeline • Translated and examined questionnaires and screeners for quantitative and qualitative study• Drafted interview and focus group discussion notes and summaries• Assisted with research reports preparing and writing

• Conducted community research on Chinese immigrants’ access to healthcare in Philadelphia • Contributed to center’s outreach efforts, e.g., coordinated special events to attract Asian seniors and was reported on the school’s annual publication (http://www.sp2.upenn.edu/docs/alumni/SP2_2013_Review.pdf)• Conducted literature reviews and fact-finding related to the demographic information on the community, customers’ needs, resources and public assistance available• Performed customers’ need assessment using surveys and interviews• Collected and updated customer data for Philadelphia Corporation for Aging databases

• Assist in the teaching process for TOEFL classes of 10 students. Organize learning activities such as review session, homework explanation, one-on-one tutoring and tests design to track students' performance and reach academic potential.• Serve as a bridge between students, teachers and parents to maximize the learning experience.

• HFH is an international non-governmental organization dedicated to eliminating poverty housing• Assisted with identifying HFH programs and aid-receiving applicants through secondary research and family interviews • Supported marketing and PR efforts by editing marketing materials, family profiles, graphic design for events, and by collecting impressions from HFH press releases• Managed volunteer teams; recruited individual/corporate volunteers, coordinated on-site building projects