I'm Md. Abu Bokkor Shiddik, a passionate and driven individual with a strong background in Statistics. My academic journey and research interests are centered around public health data, communicable diseases, and the application of advanced analytics—including machine learning, explainable AI (XAI), and spatial analysis—to understand and solve real-world health challenges.
I specialize in working with large, cross-national datasets and have experience in applying epidemiological methods, statistical modeling, and causal inference to explore trends and determinants of health outcomes. I'm particularly interested in integrating data science with public health to generate actionable insights and inform evidence-based policy.
Academic Journey: Education
BSc Honours, Statistics
Begum Rokeya University, Rangpur (2025)
Diploma of Education, Computer Science
Bangladesh Computer Education (2017 - 2018)
HSC, Science
Police Lines School & College, Rangpur (2017 - 2019)
Key Skills & Expertise
Statistical Analysis
Proficient in R and SPSS for robust data interpretation.
Data Visualization & Mapping
Creating compelling visual narratives from complex datasets.
Machine Learning & XAI
Developing predictive models and ensuring transparency with Explainable AI.
Epidemiological Research
Investigating disease patterns and health determinants.
Research Writing & Communication
Articulating complex findings clearly and effectively.
Multilingual
Fluent in Bengali, English, and Arabic.
Exploring Global Health Inequalities
Currently, I'm exploring global health inequalities, especially related to mental health, infectious diseases, and child mortality. My work aims to uncover disparities and contribute to solutions that promote equitable health outcomes worldwide.
I'm always eager to learn, connect, and contribute—whether through academic collaboration, data science challenges, or public health discussions.
Publications: Advancing Public Health with AI
Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree-Based Machine Learning Model
Pioneering a new approach to combat dengue outbreaks.