I am an incoming software engineer intern at Google and my current goal is to join a lab that does research in AI. Previously, I interned at Credit Suisse where my team developed a linear programming model to maximize profits, reduce expenses, and fulfill client orders for Exchange Traded Funds (ETFs), I also worked on two web development projects during my internship.
Other things I am passionate about: Inclusivity for all, Statistics, Sudoku, and Leadership.
Scroll down and get to know me better :)
Interview Prep Challenges
Cancer Incidence in the US
Created a dataset on the cancer incidence levels in the US by state and race. I mined the data from various online sources including Centers for Disease Control and Prevention, State Cancer Profiles, and United States Census Bureau. I cleaned the data and created a sqlite database to link it. This dataset can be used to answer questions on the correlation between poverty levels, insurance levels and cancer incidence levels. Further, one can find which cancers affect a certain race or state more.
During my sophomore year summer internship, I collaborated on a team of four interns to develop a linear programming model to find the optimal number of ETFs from client orders to create or borrow inorder to reduce expenses and maximize profit. On top of aiding with the backend, I was responsible for integrating our backend code with a database and user interface. I achieved this goal using Django to connect all parts of the web application.
In the past few months, I've learned a lot about Computer Science and all the ways it fits into the grand scheme. Here are a few essays on various topics in CS which I've come across in my classes, internship, and personal research.