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Project Administrative Assistant

Location:
Los Angeles, CA
Posted:
July 01, 2015

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Resume:

Su Zhang

**** */* * **** St • Los Angeles, CA ***07 • 213-***-**** • acqjlj@r.postjobfree.com • linkedin.com/in/suzhang2015 Professional Experience

Consultant Assistant, Dingyi Consulting Limited Co., Beijing, China December 2014 – February 2015 China Unicom Qiqihar Branch Personnel Quota Project:

• Optimized internal business by developing analysis models and improved efficiency of personnel from less than 45% to 59%

• Achieved market and operation research; conducted position analysis & delivered recommendation to managers Financial Leasing Project:

• Designed credit rating systems and dynamic risk evaluation models in team by collecting and analyzing historical data

• Designed IT process for client demand analysis tool, alongside project supervisor & consultants Real Estate Analyst, Wilshire Financial Network, Los Angeles July 2014 – October 2014

• Assisted in 2 acquisitions with worth of $500K in company’s portfolio; investigated upcoming stocks for future investment

• Built up portfolios in Excel by analyzing assets and risk tolerance; presented financial reports to clients in Word & PowerPoint

• Used MLS to find properties that match clients’ criteria and performed projection analysis to decide whether to buy

• Researched unemployment rate in multiple areas; analyzed and compared data to monitor influence of macro-economy Business Development Assistant, R.Y.B Education Institution, Beijing July 2012 – September 2012

• Facilitated in completion of a $500K acquisition project to increase profits by 12% for coming months

• Created biding proposals for several $2MM worth of projects and 4 of 5 won the bidding

• Forecasted future development and set up detailed pro-forma financial statements including revenue, cost, EBITDA, etc. Administrative Assistant, Datong Securities Inc., Huludao July 2012 – September 2012

• Opened 20 accounts per day and maintained dealing data base; joined anti-money Laundering advertising activities Education

University of Southern California (USC), Los Angeles, CA

• Master of Science, Financial Engineering GPA: 3.73/4.0

• Core Courses: Corporate Finance, Advanced Statistics, Stochastic Process, Derivatives & Risk Management, Mortgages & MBS Beijing Jiaotong University (BJTU), Beijing, China

• Bachelor of Science, Mathematics Emphasis in Data Analysis & Mathematical Modeling

• Awards: Consecutive Scholarships for Social Practice and Academic Performance in 2010, 2011 and 2012 Certificates & Technical Skill

• SAS Certified Advanced Programmer for SAS 9, CFA Level I Candidate

• Programming & Skills: MS Excel (expert, 3 years-Pivot Tables), Mandarin (expert), SPSS 22 (proficient, 1 year-linear/logistic regression), SAS 9 (proficient, 1/2 year-Macro, SQL processing), MATLAB (proficient, 2 year), R (proficient, 1 year)

• Professional Applications: Data Analysis (mining), Risk Management, Monte Carlo Simulation, Black-Scholes Model Project & Research

Course Project: Whether Individuals Leave Smoking Area with Lightened Cigarettes in Hand April 2015 – May 2015

• Gathering data daily on individuals’ behaviors and set up 17 variables to determine logistic regression model in SPSS

• Conducted residual analysis and improved R2, and gained overall classification accuracy average 11% higher than by chance rate Independent Project: Strength and Weakness of OAS in Mortgages October 2014 – December 2014

• Studied on OAS analysis in mortgages; Analyzed and compared to other analysis methods and made public presentation Course Project: Team member, Valuation of LinkedIn August 2013 – December 2013

• Conducted market analysis with members using SWOT; Analyzed statements and cash flows and rearranged data in Excel

• Determined enterprise value with DCF and developed Multiple Comparable to evaluate and compare share price Independent Project: Second Leader, Stock Price Modeling March 2011 – March 2012

• Gathered stock price data through stock software and processed data to build up auto-regression models in Eviews and Excel

• Added 2 correction items to original model and improved forecast accuracy from 70% to 85%

• Published 1 article about stock price regression models searched by Engineer Index; Won first Prize in National College Contest



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