The Synopsis

I have graduated from the Masters in Business Analytics at MIT having worked with Prof. Alexandre Jacquillat on robust optimization methods for supply chain tasks. I have worked as a research assistant at Mila, with Prof. David Rolnick and Priya Donti.

Email

GitHub

Resume

MIT Sloan x Operations Research Center

Masters of Business Analytics - 2023
Class President
Graduation speaker
Sloan Senate and Health & Wellness committee
Course experience includes:

Analytics Tools
Advanced Analytics Edge
Optimization Methods
Machine Learning Under a Modern Optimization Lens
Analytics Lab
From Analytics to Action
Poker Bots
Power and Negotiation
Integer Optimization
Sensorimotor Learning

McGill

BSc Double Major Statistics and Computer Science - 2022
J W McConnell Scholar
CS course experience includes:

Applied Machine Learning
Algorithm Design
Artificial Intelligence
Reinforcement Learning
Probabilistic Programming
Statistical Learning
Numerical Computing
Theory of Machine Learning
Network Science

Math course experience includes:

Advanced Calculus
Statistics
Probability
Real Analysis
Abstract Algebra
Linear Algebra
Sampling Methods
Stochastic Processes

Experience

Languages

Python
Julia
Java
R
SQL
Web Dev
OCaml
Matlab

Technical

AWS
Docker
Git
Linux

Research Intern (May 2021 - Aug 2021)

Created an open source Julia package, LinearMixingModels.jl, that implements a specific class of multi-output Gaussian Process.
Engaged with the open source community to ensure contributions met community standards on top of fulfilling the needs of the company.

Software Engineer Intern (May 2020 - Dec 2020)

Developed and analyzed the performance of cloud-computing infrastructure to enable better use of AWS tools
Performed data analysis and built predictive models of various forms. Designed and developed a Julia package from scratch as well as the infrastructure necessary to implement these in production
Participating in code review, paper readings and other team activities