PROFESSIONAL EXPERIENCE
Background & Expertise
MACHINE LEARNING RESEARCHER, AMAZON WEB SERVICES
May 2022 - March 2023
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Developed Bayesian Machine Learning methods for operational data.
QUANTITATIVE RESEARCHER,
CERBERUS CAPITAL MANAGEMENT
May 2021 - November 2021
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Analyze data on and for various companies to assess value and drive performance.
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QUANTITATIVE DEVELOPER, SUSQUEHANNA INTERNATIONAL GROUP
June 2019Â - October 2020
Worked on SIG's US Equity Options desk delivering support to traders and quant research.
EDUCATION
My Studies
Education was in Computer Science and Applied Mathematics. I look for opportunities that utilize both backgrounds in finance, tech, energy and research.
CORNELL UNIVERSITY
August 2014 - December 2017
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Took course work in parallel computing, python, c++, algorithms and data structures.
NEW YORK UNIVERSITY
August 2018Â - Present
I further took courses in applied mathematics including applied stochastic processes, numerical optimization, numerical methods.
SKILLS
C++, Python, C#, SQL, Linear Algebra, Numerical Analysis, Partial Differential Equations, Probability, Statistics, Optimal Control, GIT, Visual Studio, Quantitative Analysis, Fundamental Analysis
