Book Title: Advanced AI and Data Science for E-Commerce and Financial Services | AI-Driven E-Commerce Insights | AGPH Books

Advanced AI and Data Science for E-Commerce and Financial Services explores the intelligence shaping today’s digital economy. In today’s market, organizations rely on data-driven systems to compete effectively. Therefore, this book connects theory with practice by tracing artificial intelligence from foundational concepts to real-world applications in commerce and finance. Rather than focusing only on algorithms, it explains how intelligent systems transform decision-making, customer experience, and enterprise strategy.

To begin with, the book follows a structured learning path. First, it introduces the evolution of AI and the mathematical foundations behind modern learning systems. Next, it guides readers through data science infrastructure, feature engineering, predictive modeling, and deep learning. As a result, readers gain the confidence needed to design scalable AI solutions. In practice, real-world relevance remains central. For example, dedicated chapters explore AI applications in e-commerce and financial services. These include personalization, pricing optimization, risk modeling, fraud detection, and automated decision systems. Consequently, readers understand how theory translates into business impact.

Beyond technical skills, the book highlights responsibility and sustainability. Specifically, it covers MLOps, governance, ethical AI, and regulatory compliance. Therefore, readers learn how to build trustworthy and maintainable systems.

Finally, the book looks ahead to emerging technologies. These include generative AI, edge intelligence, blockchain-enabled ecosystems, and human–AI collaboration. Overall, written for students, practitioners, and researchers, this book serves as both a learning guide and a strategic roadmap.

About the Author

Krishna Chaitanya Yarlagadda is a Data Science and AI leader with over thirteen years of industry experience. Throughout his career, he has built intelligent systems across financial services, e-commerce, and digital markets. In particular, his expertise spans machine learning, predictive analytics, risk modeling, and enterprise-scale data engineering.

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. As a result, these systems support credit risk, fraud prevention, and portfolio management. Moreover, he oversees model lifecycle modernization. For this reason, advanced techniques such as explainable AI, stress testing, monitoring, and regulatory compliance are integrated into unified frameworks. Consequently, 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. Ultimately, his work improved payment conversions, reduced charge-off losses, and increased operational efficiency.

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.