Profile
Research Profile
Expert research statistician and machine learning specialist with extensive expertise in epidemiological studies, predictive modeling, and spatial analysis of health disparities.
My research focuses on maternal health, mental health determinants, child nutrition, and water quality — integrating complex survey data (DHS), explainable machine learning (SHAP/LIME), and geospatial methods across Bangladesh, Nepal, Zambia, Burkina Faso, and Mozambique.
Currently serving as a Research Assistant at SUST Biostatistics & Epidemiology Research Team (under Prof. Dr. Md. Jamal Uddin) and the ELITE Research Lab, contributing to Generative AI, XAI, and NLP projects.
Shahjalal University of Science and Technology
B.Sc. (Honours) in Statistics
2021 – Present · Final Year · Sylhet, Bangladesh
Key Courses: Statistical Inference, Machine Learning, Epidemiological Methods, Regression Analysis, Sampling Techniques, Statistical Computing (R, Python, SPSS, STATA), Demography, Research Methodology, Data Science, Design & Analysis.
Bangladesh Statistical Association
ISCB Member
SUST Data Science Club
Share-Net Bangladesh
IRB Collaborator
Research Output
Publications
Associations of Internet Use and Pregnancy Loss with Depression and Anxiety among Women in Bangladesh: Evidence from the 2022 BDHS
BMC Women's Health (Springer Nature)
Household Water and Handwashing Facilities and Early Childhood Education Participation in Nepal: Evidence From a Nationally Representative Cross‐Sectional Survey
Health Science Reports (Wiley)
Identifying the Determinants of Depression among Ever-Married Women in Bangladesh: A Machine Learning Approach
International Journal of Statistical Sciences, Vol. 25, No. 2, pp. 33–46
Machine Learning Analysis of Factors Influencing Skilled Birth Attendance in Burkina Faso: Assessing Spatial Inequalities Using Imbalanced Survey Data
Scientific Reports (Springer Nature)
Predicting Cesarean Delivery Using Machine Learning in Six Asian Low- and Middle-Income Countries
Scientific Reports (Springer Nature)
Determinants and Provincial Inequalities of Low Birth Weight in Bangladesh and Nepal: Evidence from DHS Data Using Explainable Machine Learning
International Journal for Equity in Health
Exploring Determinants and Spatial Inequalities of Quality Antenatal Care in Nepal Using Machine Learning on Complex Survey Data
BMC Pregnancy and Childbirth (Springer Nature)
Identifying Key Determinants and Spatial Insights of Skilled Birth Assistance in Bangladesh: A Machine Learning Approach from BDHS 2022
Scientific Reports (Springer Nature)
Explainable Machine Learning Approaches to Predict Knowledge of Pregnancy Danger Signs Among Women in the Haor Region of Bangladesh
Global Health and Research Policy
Predicting Skilled Birth Attendance in Zambia Using Explainable Machine Learning: Evidence from ZDHS 2023–24
Global Health and Research Policy
Risk Factors for Anxiety and Depression Among Ever-Married Women in Zambia: Provincial-Level Analysis from the 2023–24 ZDHS
Journal of Adaptive Disorder Reports (Elsevier)
Association Between Women's Empowerment and Mental Health in Sub-Saharan Africa and South Asia: Evidence from the SWPER Index
Global Mental Health (Cambridge Press)
Intimate Partner Violence and the Dual Burden of Anxiety and Depression Among Women in Zambia: Spatial Inequalities and SDG Implications
Global Mental Health (Cambridge Press)
Women's Decision-Making Autonomy and Mental Health in Five Low-and Middle-Income Countries: A Pooled DHS Analysis
BMJ Global Health
Stratified and Spatial Patterns of Depression and Anxiety in Mozambican Women: Maternal Health Policy Implications
PLOS ONE
Child Undernutrition and Household WASH Practices in Bangladesh: Insights from National Data
PLOS ONE
Machine Learning-Based Prediction of the CCME Water Quality Index in the Buriganga River, Bangladesh
Agrosystems, Geosciences & Environment (Wiley)
Machine Learning-Based Classification of Air Quality in Bangladesh: A Comparative Evaluation of XGBoost and Random Forest
Bangladesh Journal of Medical Science (Scopus)
Ten-Year Trend Analysis of Water Quality Index in the Buriganga River, Bangladesh
Bangladesh Journal of Medical Science (Scopus)
Determinants and Spatial Variation of Skilled Birth Assistance in Nepal: Insights from NDHS 2022
Preprint (Research Square)
Associations of Women's Empowerment and Intimate Partner Violence with Mental Health Among Ever-Married Women in Bangladesh
Preprint | Under review in Archives of Women's Mental Health
Association Between Child Stunting and Handwashing Facility with Spatial and Stratified Analysis Among Under-Five Children in Bangladesh
Research Square
Predictive Modelling and Survival Analysis of Cardiovascular Disease Based on Risk Factors: A Comprehensive Approach
14th Al Farabi International Scientific Research Congress, Selçuk University, Türkiye
Expertise
Technical Skills
Statistical Methods
Advanced Modeling
SEM, Multilevel, Bayesian, Survival, Time Series, Complex Survey Design
SEM, Multilevel, Bayesian, Survival, Time Series, Complex Survey Design
Epidemiology
Case-Control, Cohort, Cross-sectional, Risk Assessment, Confounding Control
Case-Control, Cohort, Cross-sectional, Risk Assessment, Confounding Control
Multivariate
PCA, Factor Analysis, Cluster Analysis, Discriminant Analysis
PCA, Factor Analysis, Cluster Analysis, Discriminant Analysis
Machine Learning
Supervised
Random Forest, XGBoost, SVM, Logistic Regression, KNN, Neural Networks
Random Forest, XGBoost, SVM, Logistic Regression, KNN, Neural Networks
Interpretability
SHAP, LIME, Model Explainability, Feature Importance
SHAP, LIME, Model Explainability, Feature Importance
Imbalanced Data
SMOTE, Class-weighting, Resampling Techniques
SMOTE, Class-weighting, Resampling Techniques
Programming
R
tidyverse, survey, lme4, lavaan, survival, spdep, ggplot2, Shiny
tidyverse, survey, lme4, lavaan, survival, spdep, ggplot2, Shiny
Python
pandas, scikit-learn, statsmodels, geopandas, matplotlib, seaborn
pandas, scikit-learn, statsmodels, geopandas, matplotlib, seaborn
Other
STATA, SPSS, SAS, MySQL, LaTeX, Git, Jupyter, RMarkdown
STATA, SPSS, SAS, MySQL, LaTeX, Git, Jupyter, RMarkdown
Geospatial Analysis
GIS Tools
ArcGIS Pro, QGIS, R (sf, tmap, spdep), Python (geopandas, folium)
ArcGIS Pro, QGIS, R (sf, tmap, spdep), Python (geopandas, folium)
Spatial Stats
Spatial autocorrelation, Kriging, Moran's I, Spatial regression
Spatial autocorrelation, Kriging, Moran's I, Spatial regression
Data Visualization
Libraries
ggplot2, Plotly, Matplotlib, Seaborn, D3.js
ggplot2, Plotly, Matplotlib, Seaborn, D3.js
BI Tools
Tableau, Power BI, R Shiny, Interactive Dashboards
Tableau, Power BI, R Shiny, Interactive Dashboards
Deep Learning
Frameworks
TensorFlow, Keras, H2O.ai, scikit-learn pipelines
TensorFlow, Keras, H2O.ai, scikit-learn pipelines
Architectures
CNN, RNN, Transfer Learning, Generative AI
CNN, RNN, Transfer Learning, Generative AI
Built Work
Projects
Interactive Statistical Calculator
Built with R Shiny — performs common statistical computations interactively in the browser.
Live Demo →
MovieLens Recommendation System
Interactive movie recommendation app built with R Studio and deployed on Hugging Face Spaces.
Live Demo →
Water Quality Intelligence Platform
Shiny application for real-time monitoring and visualization of water quality in the Buriganga River, Dhaka.
Live Demo →
Weather Monitoring & Forecast App
Interactive weather forecast and climate data visualization tool built on R Studio and Hugging Face Spaces.
Live Demo →
Work History
Research Experience
Jan 2026 – Present
Research Assistant
ELITE Research Lab · Remote
- Contributed to research in Generative AI, Explainable AI (XAI), and Natural Language Processing
- Developed interpretable AI models for transparent decision-making systems
- Worked on Computer Vision and Human-AI Interaction projects
- Designed ethical, privacy-preserving AI solutions with interdisciplinary teams
Jan 2024 – Present
Research Assistant
SUST Biostatistics & Epidemiology Research Team · Supervisor: Prof. Dr. Md. Jamal Uddin
- Authored and co-authored 10+ Q1 manuscripts on maternal, mental, and child health
- Conducted spatial ML modelling and DHS multi-country survey analysis (Bangladesh, Nepal, Zambia, Burkina Faso)
- Motto: "Transparent, Reliable AI for Everyone"
Jan 2025 – Present
Research Assistant
TeamCSBD / Cognitive Solution Bangladesh · Remote
- Intensive training in public health epidemiology using STATA, Excel, R, and Python
- Developed reproducible research pipelines and interactive dashboards
- Contributed to project: "Trends of Under-Five Child Stunting in Bangladesh and WASH Practices"
- Supervised by Sabbir Ahmed (Ministry of Health, Saskatchewan, Canada)
Jun – Aug 2025
Research Assistant (Intern)
DataKothon Research Lab · Bangladesh (Remote)
- Performed systematic literature reviews and meta-analyses
- Assisted in data collection, cleaning and epidemiological analysis
Mar 2026 – Present
Invited Peer Reviewer
Cambridge Prisms: Global Mental Health · Cambridge, UK
- Invited peer reviewer position at Cambridge University Press
Nov 2024 – Present
Workshop Instructor
SUST Research Science Club
- Conducted hands-on R programming and statistical analysis workshops
- Developed materials used by 150+ participants
Recognition
Awards & Honours
Runner-up – Poster Competition
6th Bangladesh Economics Summit
2025 · 10,000 BDT
Top 10 Performer – Data Hackathon
Comilla University
2025
Winner – DNA Day Writing Contest
ISCB RSG Bangladesh
2025
Scholarship Recipient
Aftab Uddin – Khudeja Banu Welfare Trust UK
2016 · 10,000 BDT
Scholarship Recipient
Khandoker Trust International (Charity Commission UK)
2013
Credentials
Certifications
MKCRD Basic Research Training (Season Two)
MKCRD · Mar 2026