Abhijit Sinha
Transforming complex data silos into actionable insights and engineering scalable intelligent models through advanced analytics, machine learning, and rigorous AI research.
Who I Am
Academic Journey
MCA Student • Tezpur University
Bachelor of Computer Applications (BCA) Graduate
I am an MCA scholar deeply invested in Data Analytics, Data Science, and Machine Learning. My focus is centered on transforming high-dimensional data into actionable intelligence and building robust, production-grade AI models.
My research interests extend into Natural Language Processing (NLP), Explainable AI (XAI), and security analytics—ensuring intelligent solutions are not just accurate, but transparent, ethical, and scalable.
Data Analytics
Insight Extraction & Pipelines
Machine Learning
Predictive Models & Algorithms
Artificial Intelligence
Autonomous & Intelligent Systems
NLP & Sentiment
Text Analytics & Language Models
Explainable AI
Model Interpretability & Trust
Cybersecurity Analytics
Threat Intelligence & Anomaly Detection
Technical Skills
A comprehensive toolkit spanning programming, analytics, machine learning, and research
Programming
Data Analytics
Machine Learning
AI & Research
Tools & Platforms
Featured Research
Selected Works
2025
Kokborok Sentiment Analysis
Built one of the largest annotated sentiment datasets for Kokborok. Engineered NLP models achieving 90% accuracy, featured as a Springer book chapter.
2026
Hybrid EEG-fNIRS Classification
Designed a multimodal signal pipeline using EEG and fNIRS. Integrated Vision Transformers and SHAP explainability for precise cognitive task recognition.
Publications
Peer-reviewed research in Natural Language Processing, Machine Learning, and Low-Resource Language Technologies.
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.
This research introduces one of the largest publicly reported Kokborok sentiment datasets containing over 7,500 annotated sentences. The study evaluates multiple machine learning approaches for sentiment classification and demonstrates that Logistic Regression with Bag-of-Words achieves up to 90% accuracy, providing valuable resources 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. https://doi.org/10.1007/978-3-032-07735-6_11
Professional Experience
Summer Research Intern
IEEE Computational Intelligence Society (CIS) Kolkata Chapter
- •Successfully completed the IEEE CIS Kolkata Chapter Summer Internship 2026.
- •Conducted multimodal EEG–fNIRS signal analysis for advanced cognitive task classification.
- •Generated EEG and fNIRS topographical brain images utilizing MATLAB and the BBCI toolbox.
- •Explored feature extraction, multimodal fusion techniques, and Vision Transformer (ViT)-based classification architectures.
- •Collaborated with a research team under faculty mentorship to finalize and submit a comprehensive technical internship report.
Awarded a certificate of successful completion by IEEE CIS Kolkata Chapter.
Education
My academic journey reflects continuous learning, research, and passion for Computer Science, Artificial Intelligence, and Data Science.
Master of Computer Applications (MCA)
Tezpur University
CGPA: 8.24 / 10
Currently pursuing MCA with 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
Built a strong foundation in Computer Science, Algorithms, Data Structures, Programming, Database Management Systems, Networking, and Software Engineering while actively participating in research projects.
Higher Secondary (Class XII)
Kendriya Vidyalaya, Missamari
Completed Higher Secondary education with a strong academic foundation that inspired my interest in Computer Science and technology.
Matriculation (Class X)
Army Public School, Missamari
Completed secondary education while developing analytical thinking, problem-solving abilities, and a passion for technology.
Achievements
Milestones and accomplishments in research, projects, and technical expertise
Publications
Peer-reviewed research papers
Projects Completed
End-to-end ML & AI projects
Research Areas
Active research domains
Technical Skills
Tools & technologies mastered
Contact Me
Open to collaborations, research opportunities, and data science roles
Let's Connect
I'm a MCA student at Tezpur University with research interests in Machine Learning, Natural Language Processing, Explainable AI, Cybersecurity, and Brain–Computer Interfaces. I'm open to research collaborations, internships, and full-time opportunities.
s,abhijit2004@gmail.com
linkedin.com/in/abhijitsinha
GitHub
github.com/abhijitsinha
Google Scholar
scholar.google.com
ResearchGate
researchgate.net