A multi-model machine learning and transformer framework for classifying user sentiment across English, Bangla, and code-mixed reviews of government mobile financial services.
About Me
I am a graduate student and researcher in the Department of Statistics at the University of Rajshahi, Bangladesh, where I also completed my B.Sc. (Honours) in Statistics. I was born and raised in Pabna, Bangladesh.
My core research interests lie at the intersection of Machine Learning, Natural Language Processing (NLP), and Statistical Modeling, with a focus on real-world applications in Public Health, Epidemiology, and Predictive Analytics. I am passionate about bridging rigorous statistical theory with modern artificial intelligence to develop reliable, data-driven solutions.
Beyond my core research, I maintain a strong interest in philosophy, geopolitics, and global affairs, and I enjoy exploring diverse cultures through travel and collaborative discussions.
Research Interests
Read research statement & themes →Natural Language Processing (NLP)
Language representation, computational linguistics, sentiment analysis, and text analytics.
Machine Learning & Deep Learning
Predictive modeling, neural architectures, pattern recognition, and algorithm development.
Statistical Modeling & Inference
Bayesian statistics, biostatistical analysis, probability modeling, and empirical inference.
Public Health & Epidemiology
Health surveillance data, epidemiological modeling, and data-driven healthcare insights.
Recent Updates & Milestones
Master of Science in Statistics
Present University of Rajshahi, Bangladesh
Conducting graduate research at the intersection of AI, NLP, and statistical inference.
B.Sc. (Honours) in Statistics
Completed University of Rajshahi, Bangladesh
Built strong mathematical foundations in probability, multivariate analysis, and experimental design.
Featured Publications
View all publications →Talks & Conferences
View all talks →
DAAS 2026PRESENTER
Regional Conference on Role of Statistics in Strengthening Sustainable Agriculture and Public Health
April 2026 - Bangladesh Agricultural University, Mymensingh
“Deep Learning-Based Multi-Variety Rice Grain Classification Using Pre-Trained Convolutional Neural Networks”
ICRSDS4IR 2024VOLUNTEER
International Conference on Role of Statistics & Data Science in 4IR
December 2024 - University of Rajshahi, Bangladesh
Served as a conference volunteer assisting with technical session management, logistics, and participant support.
Featured Projects
View all projects →Built and deployed an end-to-end Book Recommendation System using collaborative filtering, with a Streamlit interface and AWS deployment for personalized book recommendations.
Built and deployed a RAG-based Medical Assistant Chatbot using Flask, Gemini API, and Pinecone, delivering context-aware responses from a custom medical knowledge base.
Get in Touch & Collaboration
I am always open to discussing new research opportunities, collaborations in Machine Learning & Statistical modeling, or academic inquiries.