Data Analysis

Jingfei Zhang, M.Sc. in Statistics

**** ****** ***** ***

Riverside, CA 92505

E-mail: ********@***.***

Phone: 651-***-****

Highlights

{ Cumulative GPA at UC Riverside: 3.93/4.0

{ Industry and research experiences in data analysis

{ Skill Sets: Python, R, SAS, SQL, and Linux

{ Immigration status: U.S. Permanent Resident (green card) with

exible starting dates Education

University of California, Riverside, United States GPA: 3.96/4.0 Master of Science in Statistics, 09/2015 06/2017 (expected)

Florida International University, Miami, FL, United States GPA: 4.0/4.0 A liate Student in Department of Statistics, 09/2014 { 05/2015

The University of Hong Kong, Hong Kong SAR, China Honored Student Bachelor of Science in Biochemistry

Experiences

E. & J. Gallo Winery, Modesto, CA 06/2016 09/2016 Statistician Intern in Consumer & Product Insight Department (Language: R and Access)

{ Clean over 2 million demo & tasting data entries from marketing department

{ Use mixed-e ect model to predict bottles sold in wine demo & tasting events

{ Imputation of data from chemistry department using various algorithms

{ Use random forest to predict wine

avor and boost sales

{ Revise and test consumer surveys on SurveyMonkey from marketing department

University of California, Riverside, Riverside, CA 03/2016 Present Research Assistant in Department of Statistics (Language: R and Python)

{ Analyze 1.2GB data for the research project \the association between monkey host/microbial genes and alcohol consumption"

. Methods of data reduction: Principal component analysis (PCA) and hierarchical clustering

. Methods of analysis: Linear discriminant analysis (LDA) and mixed-e ect model

. Platform: Remote access to IIGB Linux Cluster at UC Riverside (biocluster.ucr.edu)

Other Projects

{ Email Spam Filter : Detect whether an email is spam or not based on the frequency of speci c words by using LASSO logistic regression (R)

{ Predicting Bid Price of Road Construction Contracts: Develop various models to predict the bid price of road construction contracts from 12 independent variables (R and Excel) Selected Skills & Courses

{ Python (pandas, scikit-learn, matplotlib), R (glm, ggplot etc.), SAS, SQL, Linux, etc.

{ Machine Learning (current), Mathematical Statistics I&II, Bayesian Analysis, Linear Regres- sion, Discrete Data Analysis, Simulation, Experiment Design I&II

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