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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE
Summary
Masters prepared Business Analytics graduate with bachelors degree in Microelectronics and 4 years professional
experience in data-driven management. Seeking a position where academy background and work experience can apply.
Education
Arizona State University, Tempe, AZ May 2016
Master of Science in Business Analytics
Jiangnan University, Wuxi, Jiangsu, China June 2010
Bachelor of Engineering in Microelectronics
Professional Qualifications and Software Skills
Data Management Optimization Modeling Six sigma methodology
Data Mining Predictive Analytics Languages and Software: SQL, R,
Data Visualization Market Analysis Python, CSS, XPATH, SPSS, Azure
ML, Tableau, IBM Cognos, @RISK,
Project Management Business Intelligence
Palisades Decision Suite, Excel solver
Budget Analysis Risk analysis
Data Analytics Projects
Predictive Analytics Capstone/Applied Project Jan. 2016 - May 2016
Worked with ASU admission department, applied analysis with various tools, generated value and guidance to
significantly increase their efficiency with admission process as requested.
Collaborated with team members, preprocessed raw data and evaluated multicollinearity, decided which attributes
should be included for model and created new attributes base on existing ones if needed.
Used Tableau for visualization and generated rules using R for clients better understanding, focusing on which
group of students are most likely to enroll after admitted and which groups are not. Built predictive models with
different algorithms and parameters using Azure ML and SPSS, selected the one with best performance for prediction
use.
Presented outcomes and model, wrote report with semantic explanations for admission department, with
recommendations to optimize the enrollment decision process.
Time-Serious Data Analysis Projects Mar. 2015 - Apr. 2015
Analyzed time-serious financial datasets with ARIMA model and forecasted future results.
Wrote BASS Model function with R, applied it to the sales datasets of a new released smartphone to forecast sale.
Raw Data Cleaning Project Jan. 2015 - Mar. 2015
Explored efficient ways to process given raw datasets with missing value, outliers and other inconsistencies
Implemented different R packages like lubridata, stringr, Hmisc, outliers and editrules for data processing based
on the features of datasets
Wrote functions with Python and R to clean datasets with different input inconsistency patterns into uniform
format
Optimization Project Dec. 2015
Planned my 18 to 23 days trip to New York, DC, Miami and New Orleans with flexible range of time spent in each city.
Collected data of cost for staying at hotel each day in different cities from Hotel.com, and cost for transportations
between cities from CheapOair.com and Wanderu.com.
Built a binary optimization model with pre-set time and logical constraints using Excel Solver to counteract the
fluctuation of hotel and transportation cost thus minimize the total expense.
Predictive/Fraud Detection Project Dec. 2015
To overcome the fraud in an auto insurance company, developed a model to accurately classify fraud claims.
Implemented machine-learning algorithms including Neural Network, KNN and Random Forest; Tested accuracy
rate and evaluated their performance to ensure the best prediction outcomes.
Data-driven Management Project Nov. 2015 - Dec. 2015
Service Optimization Project with Engrained Restaurant
Collected on-site data related to peak hours, service time and customer satisfaction.
Generated correlation between service time and satisfaction, used data-driven quality management tools like
Fishbone Chart, Pareto Graph to identify KPI of service process and provided constructive recommendations to
optimize it.
Professional Experience/Web Test Automation and Database Maintenance
CMSS, Suzhou, China Feb. 2015 - Jun. 2015
Used Python Selenium package for manual test. Decided if the web test automation is applicable on Jenkin base
on the task given and test results. Adjusted the data-driven based framework developed by test team according to
project requirements. From front-end web collect data needed for test; write, test and maintain the script.
Kept monitoring the match of data from front-end and back-end during process, connected to back-end database
and used SQL to check if the new data is written in after POST requirement sent from front-end.
Professional Experience/Data-Driven Project Management
China State Construction/China State Decoration Group Co. Ltd. Beijing, China Jul. 2010 - Aug. 2014
Have professional experience on 4 multi-million dollar construction projects. Worked as project manager, led a 60-people
multifunctional team, completed a 2 million dollar shopping center decoration construction project with the use of data-
driven management, generated 33% profit far exceed the average profit rate.
Collaborated with project financial manager, forecasted project budget based on previous manpower and material
cost
Implemented data-driven detailed management, broke project progress down to segments base on different
features, made schedules and profit-oriented decision tailored to the analysis result of each segment and the
corresponding cash flow status.
Monitored worker performance and recorded their work amount per hour, designed evaluation system to increase
mean value and decrease deviation, made construction schedules based on updated performance data, significantly
increased efficiency, reduced time uncertainty and saved management cost as well.
Consulted with associated company departments during process for legal and technical support, quantified
potential impact as cost data to guide decision making when change of blueprint occurred during construction;
provided weekly reports to company C-suite executives on project progress and financial status.
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