Fangbin Ji

Email: acvr4s@r.postjobfree.com Mobile: 631-***-****

EDUCATION

M.S., Applied Mathematical & Statistics

Stony Brook University

GPA 3.8 09/2014- 05/2016

M.S., Control Engineering

Northeastern University 2012

B.S., Engineering in Automation

Northeastern University 2010

SKILLS

4+ years of quantitive experience with

mathematics, data analyzing, predictive modeling

and programming to solve complex problems.

2+ years of statistical analysis of practical

problems, Experience on shell scripting in Linux

and Hadoop

Proficient in developing languages including R,

SAS, SQL, Python, Tableau and HADOOP.

RESEARCH EXPERIENCE

Random Forest for 2016 Presidential Election

Forecasts

StonyBrook Universiy 04/2016-07/2016

Analyzed large dataset of 2016 Presidential

Election donations data with Jupyter notebook

Implemented Random Forest to predict 2016

Presidential Election result by Python

Logistic regression for Acquisition Model

StonyBrook Universiy 12/2015-04/2016

Analyzed large dataset of customer credit history

Implemented Acquisition Model with Logistic

regression to predict customer responses by SAS

Historical stock Price Analyze

StonyBrook Universiy 09/2015-11/2015

Installed and configured Hadoop ecosystem and

maintained their integrity

Developed Map Reduce jobs in Hadoop for data

cleansing and preprocessing

Used RHadoop to plot the empirical distribution

for returns

Multiple Regression Computing

StonyBrook Universiy 09/2014-01/2015

Using stepwise regression to find the

relationship between Depression and 6

environmental plus 20 genes variables

Used descriptive plotting, Box-Cox

transformation, T-test, correlation test and

residual distribution normality check to examine

the variance, independency, model’s lack-of-fit in SAS

Selected best 5 explanatory variables among

4000 candidate variables including 3-factor

interactions

Cox PH Model for Time-Dependent Variables

StonyBrook Universiy 09/2014-12/2014

Illustrated how impactful time dependent

variables can be in Cox Proportional Hazard

modeling

Implemented counting process method

algorithms by SAS

ABOUT ME

Versatile research and internship experiences

Highly proficient at conducting statistical analyses with a variety of data

Excellent learning and comprehension ability with enthusiasm to solve real world problems

Detail-oriented and good at presenting results

Highly motivated and passionate in Data Analyze

WORK EXPERIENCE

Huawei Technologies Co., Ltd.

Data Analyst 09/2012-05/2013

1. Power Grid Noise Model Analysis

Cleaned complex raw data in ten cities’ network system using MS SQL Server 2008

Implemented Fast Fourier transform algorithms,

visualized the result with Tableau

2. Pre-Research of Big Data

Investigated the progress of present big data research; participated in the Big Data Global Summit 2013;

Built dashboards to analyze big-data industry

RockWell Automation Co., Ltd.

Assistant Engineer 12/2011-04/2012

Communicated with the managerial personnel at the scene; mastered related information of series products of RockWell Automation

Built dashboards to analyze and display trends in the dataset.

ACTIVITY

Planed and prepared SBU CSSA 2014 Spring Festival Gala (800+ tickets were sold )

Participated in the Big Data Global Summit

Organized Liaoning streetball Tour with 20 troops from over 10 colleges and universities involved

2008 Beijing Olympic Games Volunteer

AWARDS AND CERTIFIED

SAS Certified Base Programmer for SAS 9

Passed Society of Actuaries Exam Probability

Full Scholarship, awarded for the rank of 1/64 in Postgraduate Entrance Examination

Fifth Prize in Liaoning Sudoku Competition

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