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Zihao Xu

Majored in Operations Research
Georgia Institute of Technology, Class of 2015
From Beijing, China
I am a Master student in Operations Research in Georgia Institute of Technology. I am also a hardworking candidate with critical thinking and have a strong background in Optimization, Forecasting, Statistics, Simulation and Machine Learning. Skills: Programming Language: C++, Matlab, R, SAS Optimization Software: CPlex, LINGO Statistical Software: R, SAS, Minitab, Excel Pivot Table and V-Lookup Database: SQL in SAS, SQL Server, DB2 Simulation: Arena, Stella Project Management: Microsoft Project, Visio Data Visualization: Tableau Engineering Drawing: Solidwork, AutoCAD Area of Experiences: Studying Airline Seat inventory Problem and Optimizing Revenue Management by using heuristic Operations Research approach Solving Supply Chain transportation and scheduling problem with Mathematical Programming and Optimization Implementing Machine Learning approaches and establishing predictive models on Data Estimation, Regression and Classification Applying time series approaches to analysis and forecast time series data Performing Data Clearing and Perpetration in Database Simulating some stochastic processes with performance improvements Conducting Engineering Drawing, Material Selection and Replenishment Planning, Manufacturing Process Planning and Cost Analysis for Product Design. My objective is to obtain a Full-Time position related to Operation Research, Statistics or Industrial Engineering. I am willing to learn any practical skills and knowledge under different job characteristics. Please feel free to contact me: xuzihao2014@gmail.com
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Zihao Xu Receives Degree from Georgia Tech

Zihao Xu of Beijing, China, was among approximately 2,400 undergraduate and graduate students who received degrees during Georgia Tech's 250th commencement exercises on December 11-12 at the McCami...

January, 25 2016 - Verified by Georgia Institute of Technology
Business Analyst at Hyatt Hotels Corporation
- Analyze 24-hour customer arrival/departure time data distributions by using different forecasting methods such as EWMA, ARIMA, Smoothing and so on - Make everyday forecasts for properties and enhanced the accuracy by breaking into driver-groups. - Study a Hotel room forecasting and housekeeping scheduling project with an Excel-based model in detail - Conduct data cleaning and preparation in SQL Server, build launch monthly Upsell models for different properties based on locations and sub-brands in R - Establish simple Customer-Lifetime-Value regression model and generate reports in Tableau
May 2015 - Present

Graduation

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