Career

Data Scientist | Meta

I recently started a new role as a Data Scientist at Meta.

Data Scientist | IBM

I was a Data Scientist at IBM where my work involves understanding the client experience and factors that drive their satisfaction. I analyze data such as NPS surveys, clickstreams, revenue data, and many other types of data. As far as data science methodologies, I use casual inference methods, machine learning, a bit of Natural Language Processing every now and then, and statistical techniques (regression and Bayesian techniques). I primarily use Python and occasionally R. Other tools that I frequently use are SQL and Tableau.

Data Scientist | QxBranch

QxBranch is a quantum computing start-up that also offers analytics consulting services. It was founded in 2014 and later acquired by Rigetti Computing. I interned for QxBranch in the summer of 2017 and subsequently worked for them part-time while I was in my Master's in Statistics at Columbia. There, I consulted for two multinational banks, each with AUM of half a trillion dollars. One project involved using machine learning to predict the presence of trading algorithms used in the stock market and another involved modeling customer transaction behavior. These projects were completed in Python

Consultant | Multiple Start-Ups

While in my Master's programs, I consulted for two different start-ups. One start-up specializes in Healthcare analytics and another specializes in cyberinsurance. For both of these start-ups, I performed data cleaning and processing, descriptive analysis, and predictive modeling.

Adjunct Associate Faculty | Columbia University

The Adjunct Associate Faculty role can be thought of as a Graduate Teaching Assistant. I am currently an Adjunct Associate in the School of Professional Studies at Columbia University for courses in machine learning and analytics methods. The names of the courses that I help teach are: Machine Learning, and Applied Frameworks & Methods. My responsibilities include designing & grading homework/quizzes/final projects, holding office hours to answer any questions related to the course, and mentoring students on their final projects.

Mentor | Data Science Bootcamps

From July 2020 until now, I've been a mentor for a data science bootcamp, NYC Data Science Academy, where I mentor students on their data science projects as well as their job searches. Formerly, I was a mentor for another data science bootcamp called Thinkful (Sep 2019 - July 2020).

MA, Statistics | Columbia University

MS, Data Science | George Washington University

BS, Bioengineering | University of the Pacific

Hoover Institution Summer Policy Boot Camp

Participated in a public policy bootcamp at Stanford University to learn about various policy issues in healthcare, tech, and government.

Tuck Business Bridge Program

Participated in a highly selective 4-week program taught by MBA faculty, providing an in-depth introduction to marketing, strategy, microeconomics, accounting, and finance