| Research Areas: |
My research interests lie in Applied Statistics, particularly in statistical modeling, econometrics, data analytics, and simulation-based methods. My doctoral research focused on the evaluation of robust estimators of process capability indices for non-normal distributions in the presence of outliers, contributing to methodological developments in statistical quality control. I also have extensive experience in survey design and implementation, including questionnaire development, sampling design, data management, and statistical analysis. Over the past eight years, I have been involved in large-scale surveys and the production of official statistics, particularly through the Multiple Indicator Cluster Survey (MICS) in Punjab, Pakistan. I am also actively engaged in data analytics and data science, using tools such as R, Python, SQL, spreadsheets, Tableau, and Power BI for data exploration, analysis of large datasets, and data visualization, with the broader aim of applying statistical and data-driven methods to support evidence-based research and policy decision-making. |
