YE XIAO

* ***** *****, ******, ** ***** 949-***-**** ac4eme@r.postjobfree.com https://www.linkedin.com/in/yexiao127/ Education

University of California, Irvine, Irvine, CA June 2018

• M.S. in Business Analytics GPA: 3.70/4.0

• Courses: Statistics for Data Science, Data and Programming for Analytics, Business Intelligence for Analytical Decisions, Mastering Predictive Analytics, Web & Social Analytics Shanghai Jiao Tong University, Shanghai, China June 2017

• B.E. in Food Science and Engineering Minor in Finance GPA: 3.75/4.0

• Honors: China National Scholarship (Top 1% of the School) Skills

Programming Language: Python(Pandas, NumPy, SciPy) R(dplyr&tidyr),

Machine Learning: Python(Scikit-learn), Weka

Database: SQL, AWS(S3)

Data Analysis: Alteryx, Excel, SPSS

Visualization: Tableau, R(ggplot2), Python(Matplotlib) Projects

Movie Analysis for IMDb.com, Irvine, CA Sept. 2017 – Dec. 2017

• Scraped data of top 250 movies for each year from 1994 to 2016 on IMDb.com in Python

• Processed Review attribute by Natural Language Processing(NLP), and built Review-Rating classification models by Naive Bayes, Logistic Regression, and Random Forest methods

• Built recommend system based on users’ preferences, which summarizes characters of uses’ favorite movies and finds out similar recommendations

Marketing Analysis for Bank Telemarketing Success, Irvine, CA Sept. 2017 – Dec. 2017

• Pre-process data via feature engineering and feature selection through exploratory analysis in Alteryx

• Resampled the unbalanced dataset to fit Decision Tree model and improved the rate of predicting clients who purchased bank deposits from 48.1% to 97.9%

• Segmented clients by cluster analysis and gave recommendations based on targeted group’s characteristics Options Pricing, Shanghai, China Sept. 2016 – Dec. 2016

• Cleaned and transformed Apple stock prices from March to October 2016 from Yahoo Finance

• Performed ACF and ARCH tests and built Time-Series GARCH model to forecast future stock prices in R

• Used historic volatility to calculate option prices based on Black-Scholes-Merton model

• Compared theoretical option prices to the real-world prices and analyzed the potential causes for the deviation Rainbow Noodle Research and Development, Shanghai, China Jul. 2016

• Conducted marketing research about customers’ needs to noodle and built Quality Function Deployment(QFD) diagram to visualize the relationship between engineering characteristics and product differences

• Launched sensory tests including descriptive and preference tests, used one-way ANOVA to analyze sensory data in SPSS, and concluded significant differences in mean scores of samples Experience

Wanlian Securities, Shaoxing, China Jul. 2016 – Sept. 2016 Analyst Intern - Investment Strategy Office

• Visualized and analyzed textile industry data using Excel to provide investment insights for Qingfangcheng company

• Conducted financial analytics to forecast revenue, identify future trends in local, and assess risks associated with national economic policies and capital expenditures Societe Generale, Shanghai, China Apr. 2016 – Jul. 2016 Analyst Intern - Business Development Office

• Broadened business development channels by writing credit card proposals and negotiated with Edaibo company to establish free parking services for high-class customers

• Segmented potential customers into different groups, analyzed data of targeted customers’ behaviors, and organized salon activities (e.g. Parent-Child activities) to advertise the bank

• Analyzed the tendency of world market, collected information of macroeconomic forms and latest published news, and conducted analysis reports based on daily fluctuation of gold price and oil price

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