👋 Hi! I’m Sunny
I grew up in a small town with a bustling perhiphery, hosting (at one end) the busiest bridge in the world.
The below is our historic view overlooking New York City from the west:
I went to both primary and secondary school in my hometown, where I found an interest in STEM and participated in sports (Track and Field) as well as band (where I played the Trumpet 🎺).
Thereafter, I went to NYU where I majored in Business with concentrations in Finance, Computing & Data Science, alongside a Minor in Mathematics.
Before all this however, I actually started out as an Accounting major, intending to try for examination as a CPA, but realized that I did not learn to love the field as much as I had originally hoped.
Over my freshman year summer, I studied abroad in Cape Town, South Africa where I worked for a creative consulting company, running logistics for a cosmetics startup. The summer thereafter, I worked for Brookfield as an analyst.
It was during this time that I found Data Science and enjoyed its multidisciplinary nature, realizing the importance of quantizing the truth in our world.
I took two years off working odd jobs here and there, from an analyst at Two Sigma to a tax consultant at Deloitte. These roles (and some degrees of positive and negative reinforcement along the way) only reaffirmed my decision that I wanted to pursue something more data-driven.
I then returned to classes, working part-time as a Data Scientist at NYU Langone, where I processed, pipelined, and used semi/supervised methods to analyze genetic data across the cardiovascular and lymphatic systems.
The classes that I took throughout my time at NYU were.. to say excellent would be an understatement. They really pushed for a feeling of natural understanding, focused into three categories being: the real world, mathematics, and code assisting one another to bring about insights that a normal pen, paper, and brain cannot.
They were also exteme mixes of the visual and the expressive; as I took classes, learned techniques, and was made to understand concepts that allowed computers to (in a way) perceive the world as we do, and more importantly, for us to understand and interact with such machines.
Most of these experiences were definitely challenging, however trepidation and persistence were key.
There is much more out there, and this website is my hope to be able to document all the in-betweens and through-outs for all that I encounter from here on.