Real Estate Financial

JINYI TANG

*** ****** **, ******** ****, NJ *****

(Cell) 908-***-****, (Email) ***********@*****.*** Key Qualification

Highly Developed skills in Accounting, forecasting, data analysis and company financial assessment. Proficient at analyzing company financial reports, evaluating company financial operating status and financial planning and developing data analysis model. Strong leadership and organization skills, CFA Level I candidate.

Highlighted Skills

• Financial reporting analysis • Real Estate Mortgage

• Financial Statement preparation

• Financial Modeling

• Fixed income analysis

• Portfolio management

• Derivative & options investment • Word, Excel, PowerPoint, R, SAS, SQL Education

Rutgers, the State University of New Jersey, NJ

Master of Financial Analysis July 2015 - May 2016

San Diego State University, CA

International Diploma, Major in hospitality July 2014 – June 2015 Sichuan University, China

Bachelor, Major in Marketing Aug. 2011 - June 2015 Internship

Hua Gao CPA LLC, New Jersey

Account assistant Feb. 2016-April 2016

Prepared Income Tax Returns for 500 individual clients and 20 corporates. Provided tax return consulting for more than 200 clients and generated $6000 cash back in average. Provide bookkeeping, bank reconciliation, journal entries and trial balance for business clients. ICBC, China

Finance costumer service June 2014- Aug. 2014

Provided and managed client information and database regarding the features of the loan. Prepared the Security documents for the purpose of loan and having 200 clients sign their documents.

Academic Project

Pricing model analysis of Zillow Real Estate data (Programing language: R ) Dec 2015 Independently performed an in-depth data analysis on real estate featured data over 500 properties. Performed factor analysis, regression analysis with confidential test. Built a pricing model matches 98% of Zillow estimated.

Investigation on factors affecting US airlines cost (Programing language: R ) Oct 2015 Investigated the factors influencing cost of US airlines between 1970 to 1984. Performed model fitting, checking and model selection. Model and method: Generalized Linear Mixed Model (GLMM), Logistic Regression

Evaluating Currency and International stock return Mar 2016 Evaluated 25 Currency and International stock return by building black-litterman model. Historical data for more than 400 months were used to judging the estimated return and build optimal portfolio. Calculated portfolio beta, alpha and increased the portfolio estimated return by 10%.

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