Aarya Bagde is a skilled data scientist currently employed at Amazon since June 2025. Prior experience includes roles as a Graduate Teaching Assistant and Graduate Research Assistant at New York University from February 2024 to July 2025, where Aarya developed an automated data pipeline for consolidating public debt data and designed dynamic visualizations for analyzing global debt trends. Aarya also utilized SQL for extracting genetic and clinical data and built a scalable ETL pipeline for rRNA analysis. During a brief internship at Amazon in mid-2024, Aarya enhanced operational efficiency by creating a predictive framework for Fulfillment Centers and automated the ETL process, significantly improving data processing efficiency. Aarya holds a Master's degree in Data Science from New York University and a Bachelor of Engineering in Electrical, Electronics, and Communications Engineering from Dwarkadas J. Sanghvi College of Engineering.
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