Data

Yang GAO

202-***-**** **********@*****.*** www.linkedin.com/in/YangGao2 3480 Granada Ave, Santa Clara, CA, 95051 EDUCATION

Johns Hopkins University Washington D.C.

Master of Science in Information System (STEM eligible) Aug 2019

Relevant Courses: Data Analytics, Data Science and Business Intelligence, Internet Services and Systems, Database management Nanjing Normal University Nanjing, China

Bachelor of Science in Applied Physics Jun 2018

Relevant Courses: Mathematical Modeling, Econometrics, Linear Algebra, Field Theory and Ordinary Differential Equation PROFESSIONAL EXPERIENCE

Maxta Inc Santa Clara, CA

Support team Intern Sep 2019-

• Set up two hosted POC infrastructures from scratch for customer use based on two different platforms (VMware and Red hat)

• Initiated to solve the hardware issue when customer encounter problems when installing the Maxta software

• Managed and maintained the 8 clusters with their Vcenter by access of IPMI to their hosts

• Organized and reported the error message from the log bundle files in the database to help support team fix the bug MUXIN Assets Management Company Shanghai, China

Quantitative Strategist Intern Jan 2019-Mar 2019

• Imported daily updated stocks’ data by using API form Wind; conducted data cleaning and preparation on over 500 stock prices and index, and performed regression and tree models to test the effect of prices on market reactions

• Implemented adjusted Fama-French three-factor model to highly captures the value effects of the Chinese market by constructing a market value factor (excluding the bottom 30% market cap companies)

• Performed the back test to examine the effectiveness of chosen market-value factor by comparing the difference between predicted price and actual price; optimized the automation process by implementing algorithms that assess fair prices using Python

• Limited single transaction amount within 3% of the total transaction volume to control risk by using Python CLASS PROJECT

NBA Sports Analytics Washington D.C.

Data Analytics Project Nov 2018-Dec 2018

• Tested the factors influencing basketball games’ results by using R language to analyze Los Angeles Lakers’ 700+ games data

• Formed the score predicting model and win-loss prediction model by adjusting different combination of variables by applying best subset selection

• Applied linear regression, decision tree, K-nearest Neighbors to predict the score and logistic regression on win-loss model and achieved the rate of correct prediction (81.77%) in the win-loss prediction model Ticket-selling Website Design Washington D.C.

Web Design Project Feb 2019-Mar 2019

• Designed the ticket-selling database including user’s information and real-time remaining available tickets by MySQL; Realized the timing function of buying tickets by applying JavaScript

• Achieved the interaction between client side and server side to validate and upload user account by PHP; Managed the requests from the user side by connecting to automatically updating the ticked stock database Capstone Data Analytics Washington D.C.

Lowball Prices on Stock Options (Best Project Award) Feb 2019-May 2019

• Retrieved and cleaned stock options/RSU offered from 200+ companies going public in 2015 with Python; tracked companies 3- year performance to analyze the impact of lowball prices on stock options

• Researched historical adjusted close price and market cap from S&P 500; Integrated stock performance indexes with MySQL; built interactive dashboard to display real-time stock trend stored at AWS database

• Applied unsupervised machine learning algorithms to cluster prior IPO stock options; Generated financial model to predict stock price movements for sponsors’ investments

LEADERSHIP

Volunteer Service Center of Student Union Nanjing, China Director in Department of Practice Sep 2015-Jun 2016

• Oversaw the Volunteer Teaching Program with MaiGaoQiao Primary School from curriculum arrangement to volunteers training

• Negotiated with non-government organizations to provide volunteer opportunities for college students ADDITIONAL QUALIFICATIONS

Software: Python, R, MySQL, Microsoft Office, SPSS, C, MATLAB, HTML, CSS, JavaScript, Tableau Interest: basketball, tennis, fitness, boxing, video games, sneakers, streetwear

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