Who I am
Academic journey
MCA student • Tezpur University
BCA graduate, Cotton University
I'm an MCA scholar working on data analytics, data science, and machine learning — turning high-dimensional data into models that hold up in production, not just in a notebook.
My research extends into natural language processing, explainable AI, and security analytics: making sure intelligent systems are accurate, transparent, and accountable.
Data Analytics
Insight extraction and pipelines
Machine Learning
Predictive models and algorithms
Artificial Intelligence
Autonomous and intelligent systems
NLP and Sentiment
Text analytics and language models
Explainable AI
Model interpretability and trust
Cybersecurity Analytics
Threat intelligence and anomaly detection
Technical skills
Projects
Springer publication, 2025
Kokborok Sentiment Analysis
Built one of the largest annotated sentiment datasets for Kokborok, a low-resource language. Logistic Regression with Bag-of-Words reached 90% accuracy, featured as a Springer book chapter.
7.5K
Samples
90%
Accuracy
Publications
Book chapter · 2026
Sentiment Analysis in Kokborok: Building Resources and Models for a Low-Resource Language
Authors — Debbarma, T., Sinha, A., Sengupta, S., Das, J. K., Das, H. S.
Springer Nature • Lecture Notes in Networks and Systems (LNNS), Vol. 1668
Introduces one of the largest publicly reported Kokborok sentiment datasets, with over 7,500 annotated sentences. Logistic Regression with Bag-of-Words reaches up to 90% accuracy, providing a resource for NLP research in low-resource Indian languages.
Debbarma, T., Sinha, A., Sengupta, S., Das, J.K., Das, H.S. (2026). Sentiment Analysis in Kokborok: Building Resources and Models for a Low-Resource Language. In: Namasudra, S., Kar, N., Kumar Patra, S., Kim, B.G. (eds) Data Science and Network Engineering. ICDSNE 2025. Lecture Notes in Networks and Systems, vol 1668. Springer, Cham.
DOI: 10.1007/978-3-032-07735-6_11
View on SpringerExperience
Summer Research Intern
IEEE Computational Intelligence Society (CIS), Kolkata Chapter
- Running the IEEE CIS Kolkata Chapter Summer Internship 2026, through August 2026.
- Conducting multimodal EEG–fNIRS signal analysis for cognitive task classification.
- Generating EEG and fNIRS topographical brain images using MATLAB and the BBCI toolbox.
- Exploring feature extraction, multimodal fusion, and Vision Transformer (ViT) classification.
- Working under faculty mentorship toward a technical internship report.
Education
Master of Computer Applications (MCA)
Tezpur University
CGPA 8.24 / 10
Tezpur, Assam, India
Focus on data science, machine learning, artificial intelligence, natural language processing, and research-driven applications.
Bachelor of Science in Computer Science
Cotton University
CGPA 8.13 / 10
Guwahati, Assam, India
Foundation in algorithms, data structures, databases, networking, and software engineering, alongside undergraduate research.
Higher Secondary (Class XII)
Kendriya Vidyalaya, Missamari
Assam, India
Academic foundation that led into computer science and technology.
Matriculation (Class X)
Army Public School, Missamari
Assam, India
Developed analytical thinking and problem-solving through secondary education.
Achievements
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Publications
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Projects completed
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Research areas
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Technical skills
Contact me
Open to collaborations, research opportunities, and data science roles.