Yufei (Reyna) Zhang

**** *******, ******, ** ***** 832-***-**** ac0gjt@r.postjobfree.com

Work Experience

Marketing Analyst Dahua Technology USA Irvine, CA June 2016 - Present

Designed and maintain the MySQL database for warehousing enterprise data including shipment, POS, and sales-territory assignment.

Leveraged MySQL platform to perform analytics work, including sales seasonality analysis, sales sensitivity versus promotion, RSM commission calculation, customer rebate management and distributor inventory checkups.

Managed the Salesforce platform and workflow by training sales associates, technical supports and marketing specialists. Managed Salesforce administrators in HQ to design, maintain and improve funnel sales analysis.

Constructed and analyzed the cost models to automatically generate quote distribution. Consulting Intern CASIC Cloud Company Beijing, China Jun e 2015 - August 2015

Analyzed and constructed a complete report on Alibaba’s business structure, operating mechanism, and unique features.

Constructed a B2B framework for CASIC Cloud Company and its next step. Operation and Financial Assistant AIG Insurance Co. Beijing, China May 2011 - July 2011

Analyzed five departments’ revenue and expenditure breakdown via Excel and proposed advice of improvement accordingly.

Computed twenty different stocks’ values over eight years and estimated stock movements for company investment. Education

Master of Science Stanford University September 2014 - March 2016

Major: Statistics

Relevant coursework: Data Mining and Analysis, Database, Machine Learning, Computational Social Science, Stochastic Processes, Modern Applied Statistics: Learning, Modern Applied Statistics: Data Mining, Design and Analysis of Algorithms Bachelor of Arts Rice University August 2010 - May 2014

Double Major: Computational and Applied Mathematics, Statistics

GPA: 3.92/4.00, Magna Cum Laude

Relevant coursework: Optimization, Mathematical Modeling, Numerical Analysis, Financial Markets, Linear & Integer Programming Technical Skills

Programming languages and environment: Python, R, MySQL, Matlab, Java, Linux System Data analytic platforms: Salesforce, Excel, Tableau, STATA Project Experience

Breast Cancer Survival Prediction Stanford University Fall 2015

Performed feature selection through training logistic regression & cox models on each feature separately and ranking CV error.

Constructed survival object to combine the information of both timeline & survival status.

Predicted survival probability over time for breast cancer patients using cox models and reached 86% test accuracy. Sentiment Analysis of Political Issues Stanford University Fall 2015

Statistically and graphically examined if politicians employ emotional vs. analytical argumentation to cater to their constituents and investigated if party members notice a difference in rhetorical strategy by gathering answers from self-designed questionnaire to Amazon Tuckers.

Used LIWC dictionary to quantitatively determine the clout level for each word. Customer Subscription Pattern Prediction Stanford University Fall 2014

Analyzed the behavior and traits of people in the bay area who had concert subscription in the past ten years and predicted their subscription behavior in the coming season. Lowered the test error rate to 1.5% based on the results. Gas network optimization Rice university Fall 2013 – Spring 2014

Determined the optimal amount of natural gas and crude oil that an Oil & Gas company should produce from each wellhead of several fields with the constraints of compressor capacity, pipeline capacity, and exhaust gas emission standard.

Added uncertainty to the output and built up a customer-friendly interface with clear input and output indications.

As the team leader, arranged meetings with sponsor and mentor, assigned tasks to members, and checked on the progress. Relationship between Teacher Experience and Students’ Test Score Rice University Spring 2014

Statistically analyzed the relationship between teacher experience and students’ Math and Reading test score in the Houston Independent School District.

Cleaned data into sensible group. Ran preliminary tests to verify the data validity and analyzed them with different models.