Sezzle
Arpit Gambhir is an accomplished data scientist with a strong background in machine learning and data analysis. Currently serving as a Sr. Data Scientist at Sezzle since October 2018, Arpit has progressed through various positions within the company. Prior experience includes a role as a Machine Learning Intern at HADE Technologies LLC, where Arpit successfully developed predictive models that outperformed Wall Street estimates by 57%. Earlier experience as an Associate Analyst at GlobalLogic focused on data manipulation and reporting, while an internship at Bharat Heavy Electricals Limited provided exposure to manufacturing processes and quality assurance. Arpit holds a Master's degree in Computer Engineering from the University of Central Florida and a Bachelor of Technology in Instrumentation and Control Engineering from Guru Gobind Singh Indraprastha University.
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Sezzle
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Sezzle is an alternative payment platform that increases sales and basket sizes by enabling interest-free installment plans at online stores. Consumers pay over time, but our merchant partners are paid upfront, eliminating risk of fraud or non-payment.