Passionate about Statistics, Data Science, Machine Learning, and Artificial Intelligence. I enjoy developing data-driven solutions, building predictive models, and conducting research that supports evidence-based decision making.
Publications
Projects
Years of Experience
PLOS ONE • 2025
Developed machine learning models and association rule mining techniques to predict cardiovascular risk factors in the Bangladeshi population.
PLoS ONE • 2025
Integrated bioinformatics pipelines with machine learning to identify and validate diagnostic biomarkers from lung cancer RNA-seq data.
ICRAST 2025, University of Rajshahi
Explored prognostic biomarkers for glioblastoma through integrated bioinformatics workflows and predictive modeling.
Developed predictive models using Random Forest and XGBoost on national health survey data to assess cardiovascular risk factors.
Integrated RNA-seq data analysis (DESeq2) with ensemble machine learning to identify and validate diagnostic biomarkers.
Applied explainable machine learning (SHAP) on demographic data to predict and interpret undernutrition risk factors in Bangladesh.