Zahir Hacızadə is a lecturer and researcher specializing in statistical theory and applied statistics. He has gained practical experience in both industrial and academic environments in Turkey and Azerbaijan. During his tenure in Turkey, he participated as a researcher in two scientific projects, conducting studies in statistical modeling and data analysis. Within the scope of his academic work, he has presented at international conferences. He has also provided consulting and training services in SPSS, Python, and other statistical software packages, supporting data analysis, model building, and scientific interpretation of results. Currently, his research interests focus on statistical learning methods and the application of machine learning algorithms, and he continues to pursue studies in this field.

Bachelor’s Degree: Accounting and Auditing, UNEC – SABAH Groups, 2018

MBA: Banking, Anadolu University, 2020

Master’s Degree: Statistical Theory, Eskishehir Technical University, 2023

Doctoral Studies (PhD): Statistical Theory, Eskishehir Technical University – ongoing

• Statistical Theory and Applied Statistics
• Probability Distributions and Parametric Modeling
• Normality Tests and Goodness-of-Fit Criteria
• Monte Carlo Simulations and Statistical Power Analysis
• Machine Learning Algorithms and Statistical Learning Methods
• Reliability Theory and Applications of the Weibull Distribution