About Dr. M. Ramasubramaniam Dr. Ramasubramaniam serves as a Professor and Area Chair in Business Analytics at the Loyola Institute of Business Administration. He has earlier co-authored a book titled “Ethical Supply Chain Management in India: An Empirical Study” and self- published an e-book titled “Transformative Teacher: Harness the power of ChatGPT for a Creative and Inspiring Classroom”. His background includes a BE in Mechanical Engineering, an ME in Industrial Engineering, and a PhD from the Indian Institute of Science. Over the past couple of decades, he has taught various quantitative subjects, such as Business Data Visualization, Machine Learning, and Supply Chain Management, as well as contemporary topics like Industry 4.0 and AI in Logistics. His experience also includes a five-year tenure as an adjunct faculty member at the Malaysia Institute of Supply Chain Innovation, then part of renowned MIT Boston Global Scale Network, where he taught Data Analytics & R Programming.Dr. Ramasubramaniam’s research interests encompass inventory modeling, supply chain resilience, and healthcare operations, with several publications in respected journals, including top journals such as Annals of Operations Research, Transport Policy Journal and International Journal of Logistics Management. In addition to academic roles, Dr. Ramasubramaniam has engaged in consulting with organizations like International Flavors and Fragrances and TVS Logistics, focusing on supply chain analytics and machine learning. He is also part of AI community, where he regularly delivers talks related to AI and ML.About Daniel Peter Daniel Peter is the Vice President and Chief Data Scientist at Gamma Analytics, where he spearheads cutting-edge Data Science and AI projects, primarily focused on telecom analytics, mobile money analytics, and financial analytics. With over 20 years of industry experience, Daniel has a rich background working with Fortune 500 companies, including Connectiva Systems and Hewlett Packard, where he specialized in risk analytics, social media analytics, predictive modeling, and data management.Daniel Peter is a graduate of Kedge Business School in Bordeaux, France, and holds an Executive Program in Business Analytics from the Indian Institute of Management Calcutta (IIM Calcutta, India), an MBA from Loyola Institute of Business Administration. His expertise spans a wide array of areas, including machine learning, financial audit, revenue assurance, fraud management, and business intelligence.Beyond his role at Gamma Analytics, Daniel is an adjunct professor at Loyola Institute of Business Administration, mentoring students in Machine Learning and Data Analytics, and an industry student advisor to IIT Madras. He also consults with global telecom operators and enterprises on data-driven solutions. As an accomplished author, Daniel has written "Corporate Response to Recession (2008-09)" and frequently speaks and writes on telecom analytics at international forums. His extensive hands-on experience and thought leadership make him a respected figure in the field of data science and analytics