MATH // LAW // AND EVERYTHING IN BETWEEN

  • A Topological Perspective of Linear Regression
    Suppose you were presented with the following four graphical representations of datasets with the question: which of the following data sets follow a linear model? Almost everyone will agree that B is linear. Some might also add A to the list of linear models, and very few would say that C and D are linear. …
  • What Can Ancient Japanese Warrior Philosophy Teach Us About Data Science
    Sometime toward the end of the 16th century, a brilliant swordsman entered the Japanese world, Shinmen Takez┼Ź – or more popularly known as Miyamoto Musashi. 16th century Japan was marked by civil war and unrest between the various lords and clans of the time until the Tokugawa family dominated the region and unified the various …
  • “Analytic” Math: A Variant to the Pure-Applied Paradigm
    As an applied mathematician – and in particular, working now in the field known as “Data Science” – I have developed a unique work routine through the years to the research and development process. It is unique in the sense that I do not often see it used in practice but I often see that …
  • How to Manage the Conflicts of Interest Inherent in National Credit Rating Agencies
    This article is a reprint of a study into the conflicts of interests inherent in the National Credit Agencies model of the US financial system that contributed to the Credit Crisis of 2009. I conducted this research while attending Fordham Law School in the Fall Semester of 2016. Introduction The risks arising out of potential …
  • Anomaly Detection using Unsupervised Learning and Principal Component Analysis
    As a data analyst, a first step to any data related project is to ask – does my dataset make sense? From my decade of working with financial assets, I can attest that when your data is garbage, your conclusions are garbage, and put frankly, you returns will reflect this garbage. Similarly, data that looks …