Dr. Seeboli Ghosh Kundu

About

Dr. Seeboli Ghosh Kundu has exposure of 14 years in the industry and academic landscape. Currently, she is working as an assistant professor. in SCMS -Bangalore under Symbiosis International University. Before SCMS -Bangalore, Dr Ghosh has worked nearly 6 years in ICFAI Business School Bangalore ( IFHE-OFF Campus). Before that she worked at ITM Business School, Presidency College Bangalore. Before her academic stint, Dr. Seeboli worked in blue-chip financial services and niche research development organizations. She had been a thought leader in the arena of modern-day marketing strategies, and entrepreneurship and conducted multiple training in the domain of advanced marketing management, consumer behaviour, entrepreneurship, market research, marketing analytics, behavioural finance etc. Her research interest revolves around consumer behaviour, marketing analytics, branding, entrepreneurship, behavioural finance.

Employment

• Symbiosis Centre for Management Studies Assistant Professor
  2024 - Present
• ICFAI Foundation for Higher Education Assistant Professor
  2018 - 2024

Education

• Bharathiar University Ph.D
  2014 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Is Influencer Marketing More than Persuasion? A SOR-Based Review of the Indian Consumer Mindset
  Journal of Theoretical and Applied Electronic Commerce Research 2026 DOI: 10.3390/jtaer21080267
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• SentimentViz: Leveraging RoBERTa in Python for Advanced Sentiment Analysis and Decision-Making for a Famous Indian FMCG (Ayurvedic) Brand
  Smart Innovation Systems and Technologies 2026 DOI: 10.1007/978-3-032-07837-7_39
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• Understanding the Awareness Action Gap in Sustainable Clothing Consumption
  Research Square 2026 DOI: 10.21203/rs.3.rs-8578408/v1
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• Exploring Brand Consumer Engagement in the Age of Algorithms: A Qualitative Approach
  Journal of Cultural Analysis and Social Change 2025 DOI: 10.64753/jcasc.v10i2.2000
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• Leveraging Azure Automated Machine Learning and CatBoost Gradient Boosting Algorithm for Service Quality Prediction in Hospitality
  Computers 2025 DOI: 10.3390/computers14020032
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• A Robust Predictive Model for Predicting Consumer Purchase Intentions using Classical and Deep Learning Approaches Integrated with Optimization Models
  Conference Proceedings 4th IEEE International Conference on Technology Engineering Management for Societal Impact Using Marketing Enterpreneurship and Talent Temsmet 2025 2025 DOI: 10.1109/TEMSMET65536.2025.11467271
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• A Study on Digital Public Infrastructure and Unified Payments Interface of India
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-3-031-50887-5_25
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• Advancing Substation Demand Forecasting Efficiency with AI/ML-Powered Solutions: A Comparative Exploration of Nonlinear Techniques Versus Conventional Methods
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-3-031-73318-5_26
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• Dataset on graphite nanoplatelet enhanced HDPE composites: An ensemble machine learning approach estimating the tensile modulus, toughness, and hardness thus creating a roadmap for new product development
  Data in Brief 2024 DOI: 10.1016/j.dib.2024.110987
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• Forecasting Donations Through Machine Learning: Exploring Donation-Centric Crowdfunding in Indian Scenario
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-3-031-73318-5_17
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