Data Analysis

Yingjie LI

actdis@r.postjobfree.com +1-530-***-**** ***0 Wake Forest Dr Apt 208, Davis, CA, 95616

SKILLS:

Specialties: Data analysis, Business analysis, Statistical Investigation and Analysis, Multivariable Statistics, Macroeconomics Statistical Analysis, Modeling, Machine Learning

Programming Skills: MS office, SAS, EVIEWS, SPSS, R Language, SQL, Python

PROJECTS

Working with "Big Data" 05/2015-09/2015

Used three approaches (see below) to compute the deciles of the total amount less the tolls and make some simple regression models with the New York taxi data (>12G)

The R Programing Environment: Divided a large collection of observations into smaller chunks by just reading/processing chunks of the observations sequentially with read.csv and sapply functions

The UNIX Shell: Used wc, cut and grep commands to cut the useful columns and appended each of the taxi files to a new file. Then, invoked shell commands from R and read the resulting output back into R

Used Parallel Computing: Wrote a Parallelizable Loop with foreach. Then used the Split-Apply-Combine Approach for better performance and applied Split-Apply-Combine to find the answers

The Biham-Middleton-Levine Traffic Model 04/2015-08/2015

Wrote three versions of function groups and plot the GIF with R to simulate this process and found where the bottlenecks are occurring

Found the fastest function group and tried to find out how to improve the running time: by using vectorization.

Implemented the BML model with C by using ‘for’ loops and compared the running time for that with R: C could run much faster than R

Created R packages which contains my functions, help files and anything else

Abalone dataset exploration and statistical inference 12/2014-02/2015

Applied statistics methods to obtain a brief image of the data set

Utilized best subsets algorithms and stepwise regression procedure to select the best model

Checked model validation including internal and external validation

Constructed 99% confidence intervals and prediction intervals under the Model

The degree of social integration of migrants analysis 02/2014-08/2014

Did questionnaire survey in various regions of Zhejiang Province

Collated data and found the major variables which would be meaningful explained

Used principal component analysis to find the principal components which explains 85% or more of the proportion of variation

Used factor analysis and did factor rotation to find the common factors and name after them

Estimated factor scores and found out which variables get the highest score

WORK EXPERIENCE

Analyst Yong’an Insurance Company Hangzhou 06/2013-09/2013

Conductd comprehensive analysis and evaluations of business needs

Prepared customized reports to help business partners by providing a strong competency in understanding risk and accordingly performed better customer selection and customer satisfaction

Involved in credit risk assessment model to calculate risk factor for individual clients based on hierarchy

Experienced with data mining models in finding the sequential trend of the data

Performed updating data by weekly and monthly and maintained, manipulaed the data for database management

EDUCATION BACKGROUND

University of California Davis Graduated: December 2015

Master of Statistics

Main courses: Analysis Categorical Data, Statistical Computing, Statistical Methods for Research

Machine Learning, Data Mining, Statistical Programming

Zhejiang Gongshang University Graduated: June 2014

Major: Economics Statistics

Main courses: Multivariable Statistics, Time Sequence Analysis, Macroeconomics Statistical Analysis, Statistical Forecasting and Decision, Statistical Investigation and Analysis

HONORS

2011 Won a prize for excellence of the Fourth “Poll Cup” Statistical Investigation Conceptual Design Contest in Zhejiang Province

2012 Won the first prize of the university’s “Hope Cup” Mathematical Contest in Modeling Competition

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