Du Ye

*** ****** **, *** *********, CA ***** 267-***-**** acxhxo@r.postjobfree.com

EDUCATION

TEMPLE UNIVERSITY, Fox School of Business, Philadelphia, PA Master of Science, Statistics, Awarded May 2015 GPA: 3.59/4.0 WUHAN UNIVERSITY OF TECHNOLOGY, Wuhan, China

Bachelor of Science, Finance, Awarded, May 2013 GPA: 3.58/4.0 PROFESSIONAL EXPERIENCE

GALVANIZE, San Francisco, CA April 2016 – August 2016 Data Science Fellow

• The program consists of a project-based curriculum emphasizing statistics, data processing, machine learning and data visualization using python.

• Covered topics include supervised learning (support vector machines, factorization machines, decision trees, K-nearest neighbors, random forest, boosting, neural networks), unsupervised learning (clustering, neural networks), dimensionality reduction, hypothesis testing, predictive modeling and natural language processing. The course also touches upon data engineering topics such as the Hadoop Ecosystem and the use of Apache Spark for the processing of large scale data. TRIMTABS INVESTMENT RESEARCH, Sausalito, CA July 2015 – April 2016 Quantitative Research Analyst

• Updated exchange-traded fund and mutual fund data daily by using Bloomberg and excel.

• Maintained and updated seven model portfolios (U.S equity ETF model, NASDAQ model, country model etc.) weekly to provide quantitative performance results for weekly flow reports by excel.

• Developed three investment strategies based on analysis of the impact of large amount new offerings,new cash takeovers and repurchase on S&P 500 performance, which all outperform benchmark from around 60%-100%.

TEMPLE UNIVERSITY, Philadelphia, PA March 2015 – July 2015 Data Analyst & Co-author, Trend Analyses of Users of a Syringe Exchange Program in Philadelphia

• Conducted data aggregations and time series analysis to present demographic characteristics, drug using behaviors and substance abuse treatment trend across a 17-year period (1998-2015) in SAS, SQL and Python.

• Utilized time domain trend analyses to exam factors associated with long-term, short-term and intermittent use of the syringe exchange program.

• Built ANOVA and logistic regression univariate and multivariate models to study how patterns of use have changed over time.

TEMPLE UNIVERSITY, Philadelphia, PA March 2014 - Dec 2014 Team Project, Statistical Method II

• Queried big dataset from National Cancer Institute and resampled data to reduce the number of sample from 7051 to 983 to study prognostic factors for stomach cancer by R and SAS according research requirements.

• Produced data aggregations (descriptive statistics, correlation coefficients, and visual display of aggregated data) to explore the demographics of 983 patients.

• Constructed univariate and multivariate models (linear, Anova, logistic regression etc.) for either inference or prediction between stomach cancer mortality rate and various prognostic factors. ADDITIONAL SKILLS

Chinese-Mandarin (native) Python-SQL-Spark-Hadoop-R-SAS-MongoDB