Bio


I am a first year Master's student in the Data Science Track of ICME. I graduated from McGill University in 2015 with a Bachelor of Science degree in Applied Mathematics. Upon graduation, I sought out an internship opportunity at Picton Mahoney Asset Management. I worked closely with one of their quantitative analysts, helping with the development of his analytical toolbox and creating new database scrubbing programs. At the end of my internship, I was offered a position with the Quantitative Infrastructure team. This experience opened my eyes to the profound impact that data science can have in industry. Seeking new opportunities I was driven to Stanford where I hope to enrich my knowledge of data science while discovering and gaining access to new socially responsible careers within the field of big data.

Education & Certifications


  • B.Sc, McGill University, Applied Mathematics (2015)

Work Experience


  • Data Analyst / Quantitative Developper, Picton Mahoney Asset Management (May 1, 2015 - May 1, 2016)

    •Developed and automated robust systems to track profits and losses, portfolio exposures and analyst performance using R and SQL
    •Developed a Visual Studio Application to track portfolio performance
    •Utilized VBA to automate an outdated excel workbook which analyzed how various stocks performed on up trends and down trends, enabling the creation of a daily list of candidate stocks
    •Provided support on ad-hoc operational requirements, thus familiarizing myself with Bloomberg and Factset
    •Utilized C# to reshape bond data pulled from various sources and uploaded this data to SQL for further use
    •Converted the functionality of an excel workbook, which analyzed our positions data, to R and SQL

    Location

    Toronto, Ontario, Canada