My Experience

University of Alberta

Graduate Teaching Assistant || September, 2022 - September, 2022.

Worked as a Teaching Assistant of Basics of Machine Learning (Fall 2022) and Ethics of Data Science (Winter 2023).
Responsible for conducting office hours, labs, grading assignments and exams, solving student queries, etc.

JPMorgan Chase & Co.

Software Engineer Intern || June, 2021 - August, 2021.

Worked with the Investment Banking team to automate validation checks for every release using Python and pandas.
Designed a system for automation of evidence store creation for files to be attached to the SNOW ticket reducing the process time from 1.5 hours to 10 mins.

Dwarkadas J. Sanghvi College of Engineering

Research Assistant || January, 2021 - June, 2021
Advisor: Dr. Ramchandra Mangrulkar

Made a project dealing with application of Federated Learning for highly sensitive medical data.
Worked on a research project to identify Spear Phishing using low computational NLP approaches.
Published 2 first-author chapters for CRC Press in the domains of Federated Learning & NLP

Unicode Research

Research Student || August, 2020 - Present
Advisor: Swapneel Mehta, Dr. Akash Srivastava

Working on SimPPL to track online misinformation spread for adaptive governance (currently supported by NYC Media Lab, Wikimedia Foundation, and AI4ABM).
Leading a project for conducting audience analysis for Yale Daily News to track spread of articles on social media.
Teaching Assistant: 9-week Machine Learning Course UMLSC 2021, supported by Google Research India with 100+ students.

Levyne

Machine Learning Engineer Intern || February, 2020 - May, 2020.

Built the complete data analysis platform for the marketing team which performed RFM analysis on dynamic data.
Responsible for building a chatbot using NLTK for customer interaction and a recommendation system using fast.ai.