My full name is Khayal Hajiyev. I am 32 years old who was born in Baku, Azerbaijan. I am currently doing a PhD at Selcuk University in Konya, in Turkiye the field of Business Administration / Management Organization. The desire of programming came in 2020. From that time, I have taken lots of courses from different High-Tech companies, universities, and individuals. For years, I have been interested in different programming languages and have gained some of them such as Python within its libraries likewise Numpy, Matplotlib, and Pandas, SQL, MySQL, SQLLite, R and C++ and data visualization software such as Microsoft Office Power BI, and Tableau as well as did some projects, too. Also, I have taken my statistical knowledge to advanced level and started doing Machine Learning, Deep Learning, and Reinforcement Learning projects. Besides, I love learning and improving my skills all the way up. For academic, I have published scientific articles inBusiness Administration field to make enterprises to be better.
Academic Service
IBM SPSS & AMOS
IBM SPSS and AMOS software is for academic research. It provides different insights from data. In this service, I anlayze what a customer wants from me such as descriptive statistics, inferential statistics, advanced statistical modeling, nonparametric tests, other modules (with extensions), structural equation modeling (SEM), confirmatory factor analysis (CFA), path analysis, latent variable modeling, and model fit indices.
Bibliometric Analysis
Bibliometric analysis has become popular in the academic sector. For bibliometric analysis, I use the R programming language and the RStudio program, VOSviewer, etc. With those programs, I do citation analysis, co-citation analysis, co-authorship analysis, keyword co-occurrence, productivity analysis, H-index, g-index, i10-index, collaboration network mapping, and trend and thematic evolution.
Industry Service
Data Analysis
For Indusrty-level data analysis, I use Python, R, and SQL programming languages, Tableau, and Microsoft Excel software. With those tools, I do data preprocessing, data validation, data cleaning, data analysis (correlation analysis, statistical analysis, and time series analysis and forecasting), and data visualization.
Machine Learning
Machine learning is for over advanced level of data analysis. It is used to build smart robots using big data, as well as without being explicitly programmed. That being said, I analyze data based on supervised, unsupervised, and semi-supervised learning methods.