Dr. Himani Sivaraman is an IT professional with a wide-ranging background in development, training, academics, administration, consulting, and implementation. She holds an MCA, an M.Tech in Software Engineering, and a Ph.D., with 8 years of experience in analytics and 6 years in academics. She is currently serving as Head, Department of Computer Science & Engineering at Jigyasa University, Dehradun, where she is responsible for teaching, academic administration, research guidance, and managing all departmental operations. Her responsibilities include coordinating the M.Tech programme, conducting Ph.D. coursework classes, managing industry–academic interaction initiatives, and contributing as a member of the Academic Council, IQAC, Curriculum Development Committee (CDC/BOS), and DRC, as well as handling accreditation-related activities for UGC/AICTE/NBA/NAAC. Her research and teaching domains span computer science, software engineering, blockchain technology, supply chain management, cloud computing, artificial intelligence, machine learning, statistics & R, and big data analytics. Her Ph.D. work focuses on “An Efficient & Secure Framework in Supply Chain Management Based on Blockchain Technology,” and her M.Tech dissertation involved a hybrid RSA + AES encryption system for secure data handling in Hadoop environments. She has supervised Ph.D. scholars in areas such as load balancing in cloud computing, secure routing in MANETs, and e-learning portals for traditional Sanskrit studies. Prior to her current role, Dr. Sivaraman served as Assistant Professor at Graphic Era Hill University, Dehradun, where she taught UG and PG courses, led research and project development, and worked as SPOC for Oracle, Microsoft, ICT, Coursera, and DXC training and projects. Before moving into academia, she gained extensive industry experience as a Business Analyst at Anya Softek (WNS) and Assistant Business Analyst at Johnson & Johnson (payroll: Kelly Services), where she worked on data collection and reporting, database management, forecasting, predictive analysis, automated tools and templates, and supply chain–related analytics and reporting for senior management. Her early career includes roles as Technical Trainer at Sanea Technology and Faculty (Lecturer) at the British Institute of Engineering (BIE), where she delivered technical training and academic programmes. Dr. Sivaraman’s key technical skills include C, C++, Java, SQL, VB, Oracle, SQL Server, MS Access, Hadoop, distributed systems, AI/ML techniques such as KNN and SVM, clustering, and predictive analytics, as well as web technologies (HTML, DHTML, ASP) and MS Office and data analytics tools. Her academic and professional skills cover curriculum design and policy development, NAAC/NBA/UGC documentation, research supervision and development, ERP implementation, and industry collaboration and project coordination. She has an extensive publication record in big data, blockchain, cloud computing, IoT, predictive analytics, and organizational innovation, along with a granted patent on an IoT-based intelligent door lock for ATM cabin and financial transaction security.