Data Assistant

Kaihan Feng *** Washington Blvd, Jersey City, NJ

T: 443-***-**** – E: *******@*****.***

PROFESSIONAL STATEMENT

A great team player with well qualified quantitative, communication and planning skills. Experienced in various programming language. Seeking to apply quantitative skills to analysis and modelling in professional businesses. EDUCATION

Johns Hopkins University Baltimore, MD

Master of Science in Finance Aug, 2016

University of Washington Seattle, WA

Bachelor of Science, Major in Mathematics, Minor in Applied Mathematics Mar, 2015 RELEVANT EXPERIENCE

Soochow Securities Suzhou, China

Assistant, Stock and Hedge Fund Department Sept, 2013

Attended daily morning meeting for updates on market trends from Market Research Department.

Used Excel to categorize and make data sheets, verifying with supervisor before sending to upper management for review.

Assisted colleagues to manage client accounts, provided them with supplementary data for client advising.

Summarized market quotation for investors, helped investors to complete order transactions and documents.

Reported weekly progress to superior.

SPECIALIZED TRAINING

Boeing Outsourcing Analysis Seattle, WA

University of Washington May, 2012

Detailed analysis of strength and weakness of Boeing’s outsourcing.

Investigated whether outsourcing increases production costs using regression analysis. Advertisement Placement Optimization for SOA Games Seattle, WA University of Washington Jan, 2015

Communicated with management in SOA Games to acquire the data.

Created linear discrete mathematical models to determine optimized placement of advertisement on their websites.

Oracle Cloud Transition Analysis Baltimore, MD

Johns Hopkins University Nov, 2015

Analyzed impact of Cloud transition on Oracle through stock market, acquisition history and financial report.

Gave presentation regarding causes difficulties in transition and recommendation for Oracle. Ventas Pro Forma Analysis Baltimore, MD

Johns Hopkins University Feb, 2016

Collected data of Ventas, Inc., from various sources including Yahoo Finance, Bloomberg and MarketWatch.

Used Excel to extrapolate critical financial statistics such as FCF, NPV for the next five years.

Analyzed Ventas’ equity value using Oracle Crystal ball SKILLS & ACCOMPLISHMENTS

Programming:

4+ years experiences in Programming languages including Java, R, Matlab.

Specialized in quantitative modeling, did multiple projects centered on valuation and optimization

Ability and experiences in working both independently and in a team Software: Bloomberg, Excel, Java, R, Python, Matlab, Sage, LaTex Language: Chinese

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