Minhaj Khan

Lecturer

Pakistan Engineering Council • Temps plein

Oct 2017 - Present • 8 yrs 7 mos

I have developed substantial experience in statistical data analysis and academic research, with a primary focus on transforming raw data into meaningful and actionable insights. As a lecturer, teaching statistics remains my core responsibility, where I am actively engaged in delivering conceptual and applied knowledge to students while fostering analytical thinking and quantitative reasoning. My expertise encompasses advanced analytical techniques such as regression analysis, hypothesis testing, correlation analysis, reliability assessment, and structural equation modeling (SEM). I am proficient in statistical software, including SPSS, R, Jamovi, Excel, and SmartPLS, which I utilize for data cleaning, modeling, visualization, and comprehensive analysis. In particular, I have applied SmartPLS for variance-based SEM to examine complex relationships, assess measurement models (reliability and validity), and evaluate structural models in research contexts. Through my academic and research engagements, I have worked extensively with survey-based datasets and quantitative frameworks, ensuring rigor, accuracy, and clarity in findings. My approach integrates strong theoretical foundations in statistics with practical analytical skills, enabling me to deliver well-interpreted, data-driven results that support both academic research and informed decision-making.

Statistical Assistaant

PAKISTAN CHILDREN RELIEF • Temps partiel

Dec 2020 - Dec 2023 • 3 yrs

I served as a Statistical Assistant, where I gained practical experience in data analysis, research support, and quantitative modeling. In this role, I was responsible for managing datasets, performing statistical analyses, and assisting in the interpretation of results to support evidence-based decision-making. I applied techniques such as regression analysis, hypothesis testing, correlation analysis, and reliability assessment. I worked extensively with statistical software, including SPSS, R, Jamovi, Excel, and SmartPLS, for data cleaning, modeling, visualization, and reporting. This experience strengthened my ability to handle survey-based data and complex analytical frameworks with accuracy and rigor, enabling me to generate clear, data-driven insights.