Summary
Shrey Arora is a data engineer and MS candidate in Statistics and Data Science at the University of Arizona with seven years of experience building ML models, scalable ETL pipelines, and analytics solutions across e-commerce and fintech. He has driven measurable business impact—cutting lost charge volume by 30%, reducing churn by 28%, and boosting sales/conversion metrics through targeted ML and clustering—while migrating reporting platforms to AWS and optimizing SQL/ETL to save hours of preprocessing. Comfortable across the stack, Shrey blends Python, R, SQL/NoSQL, Airflow and AWS with BI tools like Tableau to move projects from experimentation to production. He contributes to the data science community as a writer on Towards Data Science and pairs a tech background (B.E. Electrical Engineering) with practical product collaboration and team leadership. Outside work he channels curiosity into music and creative writing, and balances analytical rigor with creative pursuits like football, trekking and rhyming.
7 years of coding experience
3 years of employment as a software developer
The University of Arizona
Bachelor of Technology, Electrical Engineering Technologies/Technicians, 7.62, Bachelor of Technology, Electrical Engineering Technologies/Technicians, 7.62 at Thapar University
Hindi, English, French