Data Analyst

Jiaming Chen Phone: 608-***-****

Email: ac1nmy@r.postjobfree.com

Address: *** *** *** *, *******, WA

EDUCATION

University of Wisconsin-Madison Madison, WI

MS in Data Science GPA:3.76/4 2016.9 – 2017.5

• Course: Statistical Inference, Machine Learning, Financial Statistics, Experiment Design, Nonparametric Statistics

Nanjing University

BS in Mathematics 2012.9 – 2016.6

• Course: Mathematical Analysis, Real Analysis, Numerical Methods and Experiments, Applied Stochastic Process

SKILLS

Proficient: R(dplyr, tidyr, ggplot2), Python(pandas, numpy, sklearn, nltk), SQL, Java Familiar: C/C++, MATLAB, SPSS, Spark

PROJECTS

Search for Lyman-Break Galaxy Feb – May 2017

• Worked with astronomer Christy Tremonti to search for an undiscovered Lyman-Break Galaxy according to the flux and wavelength pattern of a known one

• Ran a distributed computing algorithm on the HTCondor server(similar to AWS) having more than 50,000 CPUs

Forecast NBA Playoff teams and MVP Candidates of new season Oct – Dec 2016

• Made comparisons between playoff and non-playoff teams by Multiple Dimensional Scaling

• Performed Cluster Analysis including k-means, hierarchical clustering on players

• Built an evaluation criterion based on players’ data by feature selection and regression Text Analysis on Yelp data in Madison Oct – Dec 2016

• Cleaned the original data with R, performed data visualization to get overview

• Applied sentiment analysis, diversity analysis and classification on customers’ comments Gene Selection for Breast Cancer Team Feb – May 2016

• Worked on more than 20,000 genes, cleaned the data including remove the heteroscedasticity and multi-colinearity

• Found the most important genes to breast cancer by variable selection and regression EXPERIENCE

University of Wisconsin-Madison

Research Mar – May 2017

• Focused on the complexity of A/B testing in different distributed cases

• Compared fixed-budget setting and fixed-confidence setting, established the lower bound of the expected number of the draws in each setting and developed specific strategies S-BUY Big Data

Data Analyst Intern May – Aug 2016

• Extracted large and complex dataset from data warehouse by SQL

• Cooperated with financial analysts to build multivariate model (stepwise/ridge/lasso) to set pricing strategies

LEADERSHIP

• President of the Math Program Association in Nanjing University

• Captain of Nanjing University Men’s Basketball Team

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