Intern Data

Ying Wang

202-***-**** adl75c@r.postjobfree.com **** Virginia Center Blvd, Vienna, VA 22181

SUMMARY: Dedicated data analysis with excellent attention to details and comprehensive knowledge of statistics, programming, and accounting to contributed value to future employer. EDUCATION

George Washington University M.S. in Statistics Aug 2019 - Jan 2021 Courses: Data Mining; Machine Learning; Longitudinal Data Analysis; Natural Language Processing (GPA:3.7/4.0 Central South University M.A. in Accounting & B.S. in Information Management Sep 2003 - Jun 2009 Courses: Managerial Accounting, Costing Accounting, Investment Analysis &Portfolio Management SKILLS & CERTIFICATIONS

Programming: R, R Shiny, Python (Pandas, NumPy, Sklearn, SpaCy, NLTK), SAS, SQL, Tableau Data Analytics: A/B Testing, Sample Survey, Experiment Design, Hypothesis Testing, Analysis of Var and Regression Software: Microsoft Word, Microsoft Excel (PivotTables and VLOOKUP), SharePoint, QuickBooks AICPA Candidate: Successfully passed all four parts of the AICPA exam since 2018, maintaining knowledge of GAAP WORK EXPERIENCE

Coalition to Transform Advanced Care Nov 2020 - Mar 2021 Quantitative Research Analyst *part time Washington D.C

• Worked with Senior management to develop a statistical product with R shiny in the health care industry.

• Visualized data and built an interactive web apps by R coding (https://ctac-index.shinyapps.io/CTAC-Ying/).

• Performed scenario analysis, predictive modeling, hypothesis testing, and cross-validation.

• Designed database and structured data for analysis, query, clean, transform, and join. Unimex Corporation Dec 2019 - Feb 2020

Business Analysis Intern * left this position to return for Grad School Sterling, VA

• Implement A/B testing on online retail business, provided recommendation with statistical significance.

• Built predictive models for identifying trends, quantitatively defined sales territories, and quotas by geography.

• Created, maintained, and distributed interactive charts, graphs, dashboards, maps and other items.

• Reconciled unbalanced data, managed datasets, and generated ad-hoc analyses reports. Changsha University of Science & Technology Jul 2013 - Jul 2017 Lecturer in Department of Accountancy Changsha, China

• Taught courses on accounting and Auditing, conducted research on corporate finance, auditing, and risk control. PROJECT EXPERIENCE

Lending Club Loan Risk Analysis (Course Project) Sep 2020 - Nov 2020

• Analyzed credit risk and rating transition matrix of Lending Club Loans, statistical modeling in Probability of Default, and Loss Given Default.

• Extracted data from borrowers’ text or graph descriptions by Natural Language Processing, generated features including sentiment and similarity after tokenization, lemmatization, vectorization, etc.

• Developed machine learning models to predict the probability of default for each borrower, estimated the expected loss of each loan in python.

Predict Future Sale (Competition of Kaggle) Mar 2020 - May 2020

• Visualized sales time-series data, detected trends and patterns of cash flow, compiled data including collecting, collating, synthesizing, cleaning, reconciling, and imputing missing values.

• Tested multiple machine learning algorithms such as eXtreme Gradient Boosting, KNN, Random Forest, performed hyper-parameter tuning to optimize the prediction power.

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