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Data Analyst (intern) Resume

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TECHNICAL SKILLS:

Software: Python, R, SAS, MATLAB, SQL Server, C/C++, Bloomberg, VBA, MS Office

Language: Fluent in English, proficient in Mandarin

PROFESSIONAL EXPERIENCE:

Confidential

Data Analyst (Intern)

Responsibilities:

  • Extracted, compiled and tracked data with Excel and SQL Server
  • Analyzed data to generate reports
  • Worked with other team members to complete projects and achieve project deadlines

Confidential

Intern

Responsibilities:

  • Examined dataset, forecasted premium according to customer category with SAS
  • Produced relevant results with plots and generated reports
  • Presented related initiatives and results with Microsoft Power Points

Confidential

Responsibilities:

  • Applied discrete time binomial CRR model to pricing European style vanilla options in MATLAB
  • Tested the model with underlying PG, calibrated the model with Hull White Theorem, plotted the graphs for theoretical and market prices
  • The trends for call and put options between simulation and real market prices are almost the same and the models are feasible

Confidential

Responsibilities:

  • Collected stock market data from Interactive Brokers Paper Trading account, applied Black - Scholes-Merton model, and stochastic volatility model to hedge the options by using MATLAB
  • Verified model with single options, calibrated the model to market data
  • Rebalanced the portfolio, kept track of trades, relative errors are between 0%~8%

Confidential

Responsibilities:

  • Calculated Portfolio duration, convexity, and yield based on T-Bonds and T-bills
  • Created a Credit Spread trade using Treasury bills and Eurodollar futures
  • Constructed steepener, flattener, and butterfly trades with T-bills
  • Calculated the TED Spread value and P&L of the Portfolio and trades

Confidential

Responsibilities:

  • Used MATLAB code to generate correlated uniform variables
  • Built visualized models in Anylogic to simulate four different scenarios using Monte Carlo theory
  • Compared the results,created strategies to increase the efficiency and profit of the restaurant

Confidential

Responsibilities:

  • Compiled Python code for Random Forest theory
  • Tested accuracy(85.71%) with ‘Wine’ dataset
  • Compared the accuracy with provided R package functions in R(91.67%)

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