Before pursuing the MSE in Data Science program at Penn, I worked as an Associate Data Scientist at iQGateway - an IT solutions company. I helped build a next-generation Automated Machine Learning platform that involved pipeline automation and patented model evaluation based on multiple metrics. I worked on creating a modular feature transformation library for transforming data in Python and conducted extensive research on Machine Learning. This included optimizing MLOps workflow to enable an easy transition from model development to inference for production environments.

Prior to joining the AutoML team at iQGateway, I initially worked on analyzing students’ performance through data generated by a Technology-Enabled Social Learning Platform (EdTech) for a client, one of India’s leading IT service organizations. I designed and built structured staging tables using SQL to draw inferences, resulting in the automation of report generation for the platform. The preliminary Descriptive Analysis involved data cleansing, binning, and extracting data to inference tables, leading to the formation of detailed reports that contained high-value actionable insights and data visualizations.

Coming from a country where abject poverty is an overwhelming part of your daily life, it is difficult not to realize the privilege of having a family with stable financial means. This disheartening reality imbibed a sense of responsibility toward restoring some sort of parity. I truly believe that education has the power to break intergenerational cycles of poverty; it empowers individuals, promotes healthier lives, and boosts economic growth. I thus volunteered as a Mathematics teacher for children between the ages of 7-12 at the Center for Social Action (an organization in Christ University) during my undergraduate studies.