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Quantitative Analyst Intern
Shepherd Ventures• June 2021 - Present
● Researched Black Swan events and how to optimize a portfolio so that it has resistance to them by investigating the relationship between Sharpe Ratio and relative drawdown between an optimized portfolio and the overall market ● Streamlined the mean-variance optimizer by redesigning and converting the data collection process in R and optimization process in Matlab into an integrated Python script with formatted output to Excel ● Optimized the Monte Carlo simulation by implementing Pandas and vectorized functions, reducing runtime by 96%
Research Assistant
UCLA Anderson School of Management• October 2019 - June 2021
● Researched the relationship between unusual events and extreme holding changes of publicly traded companies ● Conducted market research on mid-size pet food manufacturers by consolidating company data from multiple databases ● Aided in the preparation and reviewing of corporate finance course slides for easy accessibility to other professors ● Translated and edited presentation slides from LaTeX editing language into markdown using Pandoc
Education
University of California (UCLA), Los Angeles
Data Science, BS• September 2019 - Present
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