Book Title: Hybrid Data Science Systems for Advanced E-Commerce | Hybrid Models for Personalization | AGPH Books

Hybrid Data Science Systems for Advanced E-Commerce explores how modern e-commerce platforms have evolved into intelligent, data-driven ecosystems. Today, online retail relies on advanced analytics to understand customers, optimize operations, and drive growth. As a result, hybrid data science systems have become essential for competitive advantage. This book explains how hybrid frameworks combine classical machine learning with advanced AI techniques. By doing so, businesses can extract deeper insights while maintaining scalability and interpretability. The book demonstrates how these systems solve real-world e-commerce challenges in practical and effective ways.

First, readers learn how hybrid models power recommendation engines and customer segmentation. Next, the book explores predictive analytics and dynamic pricing strategies. These approaches enable adaptive, data-driven decision-making at scale. Importantly, each concept is explained with clarity and real-world relevance. In addition, the book emphasizes interpretability and governance. It explains why understanding model behavior matters as much as performance. Therefore, readers gain confidence in applying hybrid systems responsibly in production environments.

Beyond core algorithms, the book examines emerging trends shaping the future of e-commerce. These include immersive personalization, augmented reality integration, adaptive learning systems, and continuous feedback loops. Together, these innovations redefine how customers interact with digital platforms.

Overall, this book blends theory, case studies, and actionable strategies. It is designed for researchers, data scientists, and industry professionals. Ultimately, it equips readers to build intelligent, scalable, and future-ready e-commerce systems using hybrid data science approaches.

About the Author

Krishna Chaitanya Yarlagadda is a seasoned Data Science and AI leader with over thirteen years of experience building intelligent systems across financial services, e-commerce, and digital platforms. Throughout his career, he has delivered solutions that improve decision intelligence, model governance, and enterprise analytics.

Currently, Krishna serves as Director of Data Science & AI in Model Risk Management at Atlanticus. In this role, he leads the development, validation, and governance of AI and machine learning models.Therefore these models support credit risk, fraud prevention, and portfolio management. Moreover, he oversees model lifecycle modernization. His work integrates explainable AI, stress testing, continuous monitoring, and regulatory compliance into unified AI frameworks. As a result, organizations achieve stronger governance and regulatory alignment.

Previously, Krishna worked as Senior Manager of Data Science, Analytics & Reporting at Mercury Financial. There, he led machine learning initiatives for credit-card collections and customer engagement. He built payment likelihood models, segmentation systems, and AI-driven personalization frameworks.

Consequently, these solutions improved payment conversions, reduced charge-off losses, and enhanced operational efficiency. His experience bridges advanced analytics with real-world business impact.

About The Publisher:

AGPH Books is a Professional Self Book Publishing House based in Central India, specializing in academic, professional, fiction, and non-fiction books in both print, digital and audio formats. The publishing house produces textbooks, research and reference works, biographies, self-help titles, children’s books, literary fiction, poetry, and general interest publications. With a transparent publishing process and strong digital distribution, AGPH Books ensures global availability through Google Books, Amazon, Flipkart, and its official website store, supporting authors and institutions in reaching a wide and diverse readership.