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Data Assistant

Willimantic, CT
February 23, 2020

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Zhenghao Yu 978-***-****

Summary of Qualifications

• Experienced with implementing supervised machine learning algorithm and unsupervised algorithms via R

• Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools, R and SAS, and Oracle SQL

• Proficient in data visualization and presentation, turning complex analysis into insight

• Experienced with using programming language C, Python, Matlab

• Strong collaboration skills working with diverse teams including software developers, data scientists and business intelligence professionals. Education

M.S. in Biostatistics/Applied Statistics (STEM Major), Dec 2019, University of Connecticut, Storrs, CT B.S. in Statistics, Jun 2018, University of California, Davis, CA Work Experience

Assistant Statistical Consultant

University of Connecticut, Storrs, CT Oct-Dec,2018

• Designed a program for the client using R to detect errors in medicine screening data, used EM Algorithm to find Gaussian mixture model

• Assisted in client’s efforts to understand statistical methods for medicine screening, leveraging graphs generated by statistical tools with elaborate explanations Supply Chain Analyst

Evermark, LLC, Suwanee, GA Jun-Aug,2019

• Led in a project of constructing container planning System, developed and implemented a container optimization system, enabled PO’s to automatically optimize the container space utilization, reduced over 10% annualized cost on international cargo shipping in two months

• Leveraged experimental design approach to test multiple key factors and identified the critical drivers behind shipping efficiency, developed and proposed strategies to resolve issues, conducted scenarios analysis of different proposals Summer Intern - Research Associate

Shandong Gold Group Financial Holding Capital Management Co, Shanghai Jul-Aug, 2015

• Assisted in corporate's risk analysis, utilizing R to generate value-added graphs, analyzed and summarized data

• Produced business reports with team, both in English and in Chinese

• Joined the efforts to improve the risk control decision making process, defined the upper limits of gold price for purchases, simplified decision rules and improved the cross- department communication

Representative Projects

Case-Study on Plastic Explosives

Graduate Class BIST 5215, Statistical Consulting

• Predicted whether new objects are authentic plastic explosives given all or part of twenty-three variables

• Determined an effective classifier through supervised machine learning algorithms (Logistic Regression, Decision Tree, Random Forest and SVM)

• Presented all summaries for methods and results with validations and visualizations Exploration on Phenotypic Factors Related to Survival Time of Breast Carcinomas Patients Graduate Class BIST 5645, Concepts and Analysis of Survival Data

• Identified phenotypic factors that affect survival time of patients in breast carcinomas

• Fitted data to Accelerated failure time model and Cox Proportional Hazard Model to find the best model for survival time and phenotypic factors and relative risks among variables Find Your Dream House in a Flash

Graduate Class BIST 5605, Applied Statistics

• Applied Stepwise Algorithm in R to find the best model for Unit House Price Associated with House Condition Variables

• Tested assumptions by the KS-test, plot of residual vs. fitted values and condition index.

• Construct model predicting unit house price based on geographic coordinates and other variables by clustering through K-means algorithm

Key Skills

• Statistical Analysis Skills: R, SAS, MATLAB

• Computer skills: SQL, Python, Microsoft Office, Adobe Photoshop, Computer Data Analysis, Maxload Pro

• Language skills: English (proficient), Mandarin (native)

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