Faculty & Staff

Contact
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Email
tuhinkumarmondal.ss@msruas.ac.in
- Websites
Mr. Tuhin Kumar Mondal
Assistant Professor
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School/College
School of Social Sciences
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Department
Department of Data Sciences And Analytics
Assistant Professor in the Department of Data Sciences and Analytics with over 5+ years of experience spanning both academia and industry. He holds a Master’s degree in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology and a B.Tech in Mechanical Engineering. His expertise includes machine learning, data visualization, NLP, and big data analytics. He has taught core subjects such as Data Preprocessing, Spreadsheet Analytics, DBMS, and Data Visualization. His research focuses on AI-driven applications in emotion detection and text classification. He is actively engaged in student mentoring, project supervision, and university events, and has received recognition for his contributions to academic research.
Qualifications
- M.Sc. in Data Science and Analytics
Maulana Abul Kalam Azad University of Technology - 2023
- B.Tech (Mechanical Engineering)
Rashtrasant Tukadoji Maharaj Nagpur University - 2017
Experience
Total Years of Experience5+ years
Academic Experience2+ years
Industry Experience3 years
- Natural Language Processing (NLP)
- Emotion Detection
- Computer Vision
- Deep Learning
- Educational Data Mining
- Chapter in Springer Conference Book (AGC 2023): Detecting Emotional Impact on Young Minds Based on Web Page Text Classification Using Data Analytics and Machine Learning
International Conference Papers
- ‘Detecting Emotional Impact on Young Minds based on Web Page text Classification using Data Analytics and Machine Learning’ ISBN: 978-3-031-50814-1, AGC 2023, CCIS 2008, 558922_1_En, Chapter 11 (Social media perspective) under guidance of Dr. Suparna Dhar (Principal, NSHM college of management and Technology)
International Journal Papers
- Mondal, T. K. (Forthcoming, 2025). Image Detection of Hibiscus Flowers: Dataset Creation, Annotation, and Application of Deep Learning Implementation. Vishleshikaa – The Analytics Journal (Peer-reviewed, ISSN-listed).
- Annual Member of Analytics Society of India, Bengaluru