Shan (Sally) Jiang
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Shan (Sally) Jiang

Shan (Sally) Jiang Seattle, WA 98195 •------------ • ------------ EDUCATION
University of Washington Seattle, WA Master of Science in Biostatistics, Data Science Track Incoming student at Fall 2020
University of Delaware Newark, DE Bachelor of Science Degree in Statistics & Finance, Minor in Economics Dec. 2019 GPA:3.73/4.0; Major GPA in Statistics & Finance: 3.83/4.0 Southwestern University of Finance and Economics (SWUFE) Chengdu, Sichuan, China Bachelor Degree in Economic Statistics Jun. 2019 GPA:87/100; Class Rank: 16/105 Teaching Assistant at Investment Class • Undergraduate Research Assistant for StatLab at Applied Economics and Statistics Department Core Courses: Statistical Programming • Regression Analysis • Multivariate Method • Time Series Analysis • Econometrics • Financial Modelling and Valuation • Risk Management and Derivatives • Financial Capital and Markets • Service and Operation Mgt HONORS AND AWARDS
Academic Performance: Dean’s List all semesters • Merit-Based Scholarship all Semesters Extracurricular Activities: “Excellent Intern” in Winter Intern Program of China Everbright Bank • Excellent seat of honor in SWUFE Orchestra • First Price of University Student Art Festival in Sichuan Province • Third Prize of 50m breaststroke final in SWUFE Swimming Competition PROFESSIONAL SKILLS
Technical Skills: Skilled in Python • R • JMP • SAS • SQL • Power BI • Microsoft Excel • SAP • TED Languages: Native of Mandarin • Fluent in English • Basic of Japanese RESEARCH PROJECTS
Transfer Learning Application in Customer Lending Scenario| Python, R Sep. 2018 – Present • Researched and compiled “Data Science Handbook -Transfer Learning” as an internal textbook for SWUFE Data Science Department • Designed a Transfer Rejection Inference method with TrAdaboost and Co-Training • Conducted model comparison among Transfer Good-Bad model and traditional classifying models based on Home Credit Dataset
Bitcoin Time series Modeling | R Apr. 2019 – May. 2019 • Constructed time series models to fit the Bitcoin market • Preprocessed the time series dataset with transformation and identified three possible univariate models with ARIMA • Identified Bitcoin transaction volume as external factors for multivariate model which resulted in the smallest MSE error
Semi-supervised Clustering Application in Credit Scoring System | Python, R May. 2017 – Aug. 2017 • Researched and compiled Literature Review for Credit Scoring method, focusing on Machine Learning based Reject Inference techniques • Designed a Reject Inference method with the semi-supervised clustering based on the Lending Club Dataset • Verified the better performance of the method with several classifiers SVM, Logit Regression, Random Forest and XGBoost PROFESSIONAL EXPERIENCE
Tyco Electronic Connectivity Shanghai City, China Financial Planning Analyst Intern, ICT & GATD Department Jul. 2019 – Aug. 2019 • Generated a template for ICT China billing & margin report and make it part of an automation process updated on a weekly basis • Worked collaboratively Product Marketing team, designed a data management template to support marketing strategy towards different customer categories • Created reports with SAP database for Senior Analyst, making analysis to support customer service department
China Everbright Bank Shanghai City, China Financial Product Manager Intern Dec. 2017 – Feb. 2018 • Analyzed Financial Product Sales data throughout three different categories in recent four years, visualized seasonal trend in to support