Dr. Jignasha Shah Dalal is a leading voice in AI-enabled business transformation, blending over eighteen years of experience in technical education, academic leadership, and enterprise training. She bridges deep academic knowledge with real-world impact. Her expertise covers Generative AI, Agentic AI, Blockchain Security, AI-driven analytics, and privacy-preserving Machine Learning, with a strong focus on ethical and explainable AI. She has shaped technology education in India through curriculum innovation at Mumbai University, introducing industry-aligned modules in Blockchain, Data Structures, and Compiler Design. A sought-after speaker and corporate trainer, Dr. Dalal delivers high-impact workshops on Power BI, Microsoft Copilot, Secure AI, and AI for Finance, helping professionals across BFSI, technology, and education sectors harness AI for strategic advantage. In this book, she explores FINGPT, a generative AI tool for financial analysis, offering practical strategies and ethical guidance. Beyond work, she enjoys travel, reading, and mentoring. Dr. Dalal advocates for the intelligent, ethical, and purposeful use of technology.
Dr. Santhilata Kuppili Venkata is a computer scientist, author, and entrepreneurial data-science leader whose work bridges advanced AI research and real-world applications. She earned her PhD in Computer Science from King’s College London and has applied AI in finance, insurance, cancer genomics, and archival studies. Passionate about finance, she founded an AI-backed financial services venture, developing FINGPT, a generative AI framework powered by Retrieval-Augmented Generation (RAG) over SEC filings. She led the creation of transformer-based models to extract regulatory disclosures, footnote tables, and risk factors from financial reports. Previously, she served as lead data scientist in insurance, deploying predictive models, and consulting for healthcare non-profits. As a Senior Research Fellow at the University of Birmingham, she developed an email context-extraction tool that earned multiple grants and facilitated collaborations with the University of Maryland and Stanford. Her postdoctoral work at the Francis Crick Institute advanced machine-learning methods for cancer prognosis. With over fifteen years of teaching in the UK and India, numerous publications, and mentorship roles, Dr. Santhilata blends scholarly rigor, engineering expertise, and entrepreneurial vision to drive AI innovation in finance.
About the Technical Reviewers
Dr. Amit K. Nerurkar is a distinguished academician and technology leader with over 14 years of experience in teaching, research, and academic administration in the field of Computer Engineering. He currently serves as Assistant Professor and UG Programme Coordinator at Vidyalankar Institute of Technology, Mumbai. He specializes in Distributed Systems, Network Security, Linux Administration, Embedded Systems, and AIoT. He holds a PhD in Information Technology, with research on Intelligent Robotic Process Automation (IRPA) aimed at enhancing operational efficiency in India’s automotive sector, bridging automation, AI, and industry optimization.
Dr. Monica G. Tolani is an accomplished academician and researcher with over a decade of experience in higher education. She currently serves as Assistant Professor in the Department of Artificial Intelligence and Data Science at Thadomal Shahani Engineering College (TSEC), Mumbai, and holds a Ph.D. in Information Technology from Mumbai University. Her expertise spans Artificial Intelligence, Data Mining, Big Data Analytics, and Software Engineering.
