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Are you looking to unlock the transformative potential of data analytics in the dynamic world of Banking, Financial Services, and Insurance (BFSI)? This book is your essential guide to mastering the intricate interplay of data science and analytics that underpins the BFSI landscape. Designed for intermediate-level practitioners, as well as those aspiring to join the ranks of BFSI analytics professionals, this book is your compass in the data-driven realm of banking. Address the unique challenges and opportunities of the BFSI sector using Artificial Intelligence and Machine Learning models for a data driven analysis. This book is a step by step guide to utilize tools like IBM SPSS and Microsoft Power BI. Hands-on examples that utilize Python and SQL programming languages make this an essential guide. The book features numerous case studies that illuminate various use cases of Analytics in BFSI. Each chapter is enriched with practical insights and concludes with a valuable multiple-choice questionnaire, reinforcing understanding and engagement. This book will uncover how these solutions not only pave the way for increased profitability but also navigate risks with precision and elevate customer support to unparalleled heights.
Bharat Sikka is a Data Scientist based in Mumbai, India. He holds a MS in Data Science and Analytics from Royal Holloway, University of London and BTech in Information Technology from Symbiosis International University and has earned multiple certifications including MOOCs in varied fields. Over the years, he has worked on providing solutions to multiple business pain points in BFSI and Deep Optics. He has a thorough knowledge and understanding of various programming languages such as Python, R, MATLAB and Octave for Machine Learning, Deep Learning, Data Visualization and Analysis in Python, R and through Power BI, Tableau. He is also the author of Elements of Deep Learning for Computer Vision.
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