Personal Information
Name: ALLADEEN MOHAMAD ABDALLA AL-SHARJABI
Phone: 777-258-431
Email: alladeenalsharjabi@gmail.com
Qualification: Ph. D. Forestry Economics (Feasibility Studies). UPM, Malaysia
Career Progression
1- Lecturer (Assistant Professor), Faculty of Administrative Sciences
University of Science and Technology (UST)
Sana’a, Yemen
Date: 2008 – Present
Lecturer (Assistant Professor) at the University of Science and Technology, teaching undergraduate and postgraduate courses in business, statistics, and data analysis with a focus on SPSS for statistical analysis.
Courses Taught:
Principles of Management: Introduction to management concepts with an emphasis on data-driven decision-making and the application of statistical techniques for business analysis.
Business Statistics: Covered statistical methods such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis, with a focus on using SPSS for data analysis and interpretation.
Advanced Applied Statistics (Postgraduate): Advanced statistical methods such as multivariate analysis, time series analysis, and advanced regression techniques, all taught using SPSS for complex data analysis.
Business Research Methodology: Guided students in using SPSS for data collection, analysis, and presentation, introducing research design, statistical methods, and software tools for business research.
Principles of Economics: Application of data analysis techniques to economic models using SPSS, helping students interpret economic data.
Financial Management: Focused on using statistical tools for financial analysis, including risk assessment, forecasting, and data interpretation using SPSS.
Operation Research: Introduced optimization techniques and decision-making methods, applying SPSS for data analysis in business operations.
Data Science Integration:
Introduced data analysis and statistical modeling in business courses using SPSS, empowering students to analyze real-world datasets and make data-driven business decisions.
Taught data-driven decision-making, including the use of SPSS for statistical analysis, forecasting, and trend identification.
Program Coordination: Coordinating the International Business Administration program and contributing to curriculum development, integrating statistical analysis and SPSS techniques into business education.
Student Supervision: Supervised MBA-level research projects, with a focus on data analysis methods, statistical modeling, and business decision-making with SPSS.
Curriculum Development: Contributed to the creation of new courses focused on applied statistics and data analysis, emphasizing the use of SPSS for data handling, analysis, and reporting.
Key Accomplishments:
Application of SPSS for Data Analysis: Equipped students with strong proficiency in using SPSS for statistical analysis, focusing on the interpretation of statistical outputs to inform business decision-making.
Practical Application of Statistical Methods: Ensured that students applied theoretical statistical concepts through practical assignments using SPSS, analyzing real-world business data to derive actionable insights.
Research Guidance: Supervised MBA-level research projects, focusing on data analysis methods and statistical modeling with SPSS, helping students integrate data-driven approaches in their business research.
Development of Data-Literate Graduates: Fostered the development of students’ data analysis skills, preparing them to effectively interpret and use statistical results in business contexts.
Emphasis on Data Interpretation: Focused on the interpretation of SPSS outputs, ensuring students understood the significance of statistical results and how to apply them in real-world business decisions.
Relevant Training Courses:
Associate Data Scientist with Python (90 hours)
Data Analysis with Python (36 hours)
Data Skills for Business with Python (16 hours)
Data Manipulation with Python (16 hours)
Other Training Courses:
1- “INTRODUCTION TO A GREEN ECONOMY: CONCEPTS AND APPLICATIONS”; 27 May to 19 July 2013.
Skills & Certifications
Statistical Analysis: Expertise in SPSS for business statistics, research methodologies, and data analysis.
Data Science: Strong foundation in statistical modeling, hypothesis testing, regression analysis, and business research methods.
Project Management: Proven ability to lead and manage projects, with a focus on environmental conservation, resource management, and budgeting.
Research & Reporting: Extensive experience in drafting reports, proposals, and research papers for both academic and practical applications.
Languages: Arabic (mother tongue, English (fleunt write, reading and speaking)
References
Available upon request.
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