I am a rising junior from Long Island, NY studying Computer Science, with a minor in Statistics and a concentration in Operations Research at Cornell University. My research interests are centered around data science - particularly, computational social science, learning analytics, and financial technology.
Last summer (2018), I interned in Analytics for RapidRatings.
This summer (2019), I am working with the software engineers in the Enterprise Engineering division at Morgan Stanley.
On campus, I am one of the team leads of Cornell Data Science, and I am affiliated with the Future of Learning Lab.
Will be working in an agile environment with a team of software engineers on a C# .NET service that will be deployed across the entire firm.
Fall 2019: INFO 5200 - Learning Analytics
Education is a fundamental piece of any person’s development, which is why access to education is critical. With the latest innovations in technology, a way to provide access to millions of people in Kenya is mobile education, specifically delivery through SMS. In this project, we examine fine-grained usage data of a large mobile learning platform to answer questions about how students use mobile learning in Kenya and how well it works. This research employs statistical and computational methods to parse and interpret a large educational dataset. As students in Kenya are more likely to have access to feature phones than more advanced technology, there is a lot of potential for SMS-based education to reach underserved populations in the country.
I am using R to engineer features based on learner usage patterns, and clustering based on these features, in order to examine the types of behaviors that lead to success on a mobile learning platform.
Spotify users often wonder why they are recommended certain songs. For instance, a media streaming platforms like Netflix may recommend that a user should watch "How I Met Your Mother" because they previously watched "Friends." In contrast, Spotify will simply list a few songs at the bottom of your playlist that serve as recommendations. Our project sought to bridge the gap between song recommendations and the inner workings of a recommendation system.
OScrabl is an implementation of the popular board game, Scrabble, created from scratch and written purely in OCaml. Developed as an open-ended midterm project for CS 3110: Data Structures & Functional Programming at Cornell University.
People will never stop talking about the 2016 election. While we will never know the actual extent of the effect of fake news, the least we can do is try to classify articles as fake news or real, with the hope of stopping the spread of misinformation.
This project involves building NLP models for stance and relevance classification and building a visual product providing insights into classification of Fake News.
We are approaching the problem as defined by the Fake News Challenge (FNC-1) Broadly speaking, this is split into two tasks - a relevance detection task and a stance detection task.
Our motivation for this project stemmed from the question of whether social media accounts actually promote interactions among a large group of diverse individuals. We wanted to research and observe if people simply interacted with only a specific “tribe” of peers on social media accounts similar to how they do in real life. Our objective was to determine if people from a given political group solely interacted with other members within that group, or if they also interacted with members of a different affiliation.
Chowtime is a project designed to help aspiring foodies decide where to eat.
Leadership, conflict resolution, time management
As the lead of Cornell Data Science’s Insights team, I lead weekly meetings, hold workshops on machine learning and data science techniques, coordinate guest lectures with professors in the field and ensure smooth operations of the team.
The Board of Directors of SMC (a 2-million-dollar company) makes decisions impacting thousands of Cornell students that are members of various student-run organizations, as well as full-time employees of the Student Management Corporation.
As the Kitchen Manager, skills such as conflict resolution are utilized to maintain order and functionality while meeting health standards of an industrial sized kitchen serving seventy people each night.