PEIYUE (DAISY) WANG
** ***** **** *** ****, NY 443-***-**** *************@*****.***
Data Modeling and Financial Analyzing Experience
Marketing Management Analytics (IPSOS) New York, NY
Analyst Mar 2015 – Sep 2015
Performed Ad-hoc analysis and data integrity check on processed data through Excel & SAS
Predicted an increasing sales trend by analyzing effects of factors from business & statistics side
(time series model -ARIMA & market mix model through SAS)
Collected and summarized the results into the final presentation
Bank of Communications Co. Shanghai, China
Assistant of Customer Manager Jul 2012 – Sep 2012
Collected the information of clients from past 10 years through SAS & SQL
Classified new clients into groups by matched pair analysis using Logistic Regression
Targeted more new clients by adjusted investment plan through different advertising channel
White horse Advertising Media Investment Co. LTD Kunming, China
Data Analyst May 2012 – Jul 2012
Collected last season income vs. expenses data through SAS&SQL
Analyzed effects of attributes for 3 different advertising plans by linear model and hypothesis test
Increased the net profit by adjusted input-output investment strategy for the second half year
Financial Analyst Jul 2011 – Sep 2011
• Predicted the trend of stock price by modeling the stock market with linear regression through R
and K-line pattern
Optimized profits by adjusted investment strategy on the stock market
Visualized the predicted gain flow in final report
Education
Johns Hopkins University Baltimore, MD
M.S.E. in Applied Mathematics and Statistics (GPA: 3.80) Sep 2013-Dec 2014
Courses include Stochastic Processes, Optimization Algorithm, and Statistical Methods in Imaging,
Machine Learning, Data Mining, Monte Carlo Method, Survival Analysis, And Multilevel Model
Shanghai University Shanghai, China
B.S. in Applied Mathematics (GPA: 3.55) Sep 2009-Jun 2013
Statistical Programming Projects
Image Segmentation projects (Tools: R & MATLAB)
Comparison of K-Means & Non-Bayesian EM &Bayesian EM algorithms
Markov Random Field Segmentation of images with Belief Propagation & Gibbs Sampling
Statistical Classification projects (Tools: R)
Study of Face Recognition (Dimension reduced by PCA) using Decision Tree, LDA, QDA, KNN,
Naïve Bayes combined with Cross-Validation by analyzing ROC curve
Study of classification of molecules (musk vs. non-musk) using LDA, QDA, KNN, Decision
Tree, Random Forest, Adaboost, SVM, Adaboost SVM
Machine Learning Method application on Finance (Tools: R & MATLAB & SAS)
Simulated Black-Scholes Model with joint normal distribution & Gaussian Copula
Comparison of predicted accuracy of Lasso Regression & Linear Regression on stock prices
Designed the trading strategy of stock market using KNN, SVM, Adaboost SVM, HMM &PCA
Survival analysis (Tools: STATA & SAS)
Analyzed the survival of cardiac patients with non-parametric tests (Log-Rank, Wilcoxon Test)
SKILLS
Certifications: SAS Base Programming for SAS 9
SAS Advanced Programming for SAS 9
Technical skills: Data Mining, Machine Learning, Data Processing, Data Reporting, Statistical Analysis,
Business Intelligence, Financial Modeling, Project Management
Programming Tools: R, SAS, SQL, MATLAB, STATA, and MS Excel, Word and PowerPoint
Operating Systems: Mac OS X, Windows
Language skills: Chinese (Mandarin), English