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Ranjeeta Bhattacharya

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Senior Data Scientist, BNY Mellon, NYC

Ranjeeta is a senior data scientist within the AI Hub wing of the world's largest custodian bank. As a machine learning practitioner, her work is intensely data-driven and requires her to utilize her cognitive ability to think through complex use cases and support end-to-end AI/ML solutions from the inception phase till deployment. Ranjeeta’s total experience as an Analytics / Technology consultant spans over 15+ years where she has performed multi-faceted techno-functional roles in the capacity of software developer, solution designer, technical analyst, delivery manager, project manager, etc. for IT Consulting Fortune 500 companies across the globe. She holds an undergraduate degree in Computer science and engineering, a master's degree in data science, and multiple certifications and publications in these domains, demonstrating her commitment to continuous learning and knowledge sharing.

Bio from: Data Universe 2024

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Customer Lifetime Value (CLV) is the cornerstone of any recurring-revenue or service business. It's one of the most important metric in contemporary business analytics, showing the long-term profitability and sustainability of customer relationships.

In this session, Ranjeeta Bha will explore the significance of CLV, how it's calculated, and the many factors that influence it such as customer acquisition costs, retention strategies, and revenue forecasting. We'll explore what makes customers quit—and how to predict it. Attendees will understand how to gain a comprehensive understanding of their customer base, as well as how emerging statistical and AI approaches can be used to estimate CLV.