Summary
I am currently pursuing my PhD in Statistics and Data Science at the University of Nevada, Reno, where I also serve as a Graduate Teaching Assistant in the Department of Mathematics and Statistics. I completed my Bachelor of Science in Statistics at the University of Dhaka, Bangladesh, where I built a strong foundation in statistical theory, research methods and applied data analysis. Over the years, I have developed a deep interest in both the theoretical and applied aspects of statistics, with a particular focus on probability theory, statistical inference and Bayesian statistics.
My research interests center on exploring how advanced statistical methods and data science approaches can be applied to address real world challenges. In particular, I am passionate about applying inferential and Bayesian frameworks in domains such as climate action and climate financing, health and reproductive outcomes and sports analytics. These areas provide opportunities to combine rigorous statistical modeling with socially impactful work, ensuring that data-driven insights can meaningfully inform policy, decision-making and resource allocation.
During my undergraduate studies, I conducted research on newborn thermal care using Bangladesh Demographic and Health Survey (BDHS 2017–18) data, examining maternal and child health outcomes through statistical modeling of nationally representative survey data. This work not only strengthened my data analysis skills but also deepened my commitment to applying statistics to real world health and social issues.
My current research interests center on exploring how advanced statistical methods and data science approaches can be applied to address global challenges. I am particularly passionate about applying inferential and Bayesian frameworks in domains such as climate action and climate financing, health and reproductive outcomes and sports analytics. These areas provide opportunities to combine rigorous statistical modeling with socially impactful work, ensuring that data-driven insights can meaningfully inform policy, decision-making, and resource allocation.
As a Graduate Teaching Assistant, I strive to make mathematics and statistics approachable, engaging and relevant for undergraduate students. I believe in creating a supportive learning environment that not only strengthens technical skills but also builds confidence in problem-solving and critical thinking.
Research interests
- Probability and mathematical statistics
- Statistical inference and Bayesian statistics
- Data science and machine learning
- Climate action and climate financing
- Health and reproductive outcomes
- Sports analytics
Education
- B.S. in Statistics, University of Dhaka, Bangladesh, 2024