1. Professional experience in data analysis, as well as in the collection, compilation, and dissemination of statistical data: Through the years I have worked at the Central Bank (CBRT), my job description was not limited to data collection, compilation, dissemination, and analysis. During my 19 years in the Statistics Department, I have made significant contributions in various fields, from the design phase to the realization of many projects at diverse levels. For example, while working on the old system used in the production of the Company Accounts, one of the most important reports prepared by the Real Sector Data Division, I contributed to the design phase of the second-generation platform. After a while, all stages of the third-generation platform "Integrated Company, and Real Sector Analysis Platform" except coding, were prepared and implemented with my initiatives and efforts. I have also made significant contributions at every stage of many other principal studies and projects.
2. Experience in applying and/or developing quantitative research methods in compliance with standard statistical principles. In principle, a researcher should consider every viable approach in carrying out his/her work, both quantitative and otherwise. Hence, in CBRT’s Statistics and Structural Economic Research units, quantitative research methods have been the dominant design and operational factors determining the framework in the majority of the tasks I have carried out. Cross-sectional, longitudinal, and panel data models have been decisive in the empirical studies and reports I have conducted in the statistics unit. Correlational, causal-comparative, and experimental research methods have set the framework for conceptual, theoretical, and empirical studies in the structural research unit and my academic studies in general. Additionally, Data Mining and Machine Learning techniques have formed the analytical framework I have used in some of my empirical studies since 2002. Recently, as an extension of Data Mining and Machine Learning methods, I started working on Deep Learning in the Google-Colab environment.
3. Experience in using statistical software packages (e.g. STATA, R) as required: Research implores the same flexibility in choosing research tools just as in selecting the research method to analyze a subject. For me, the same principle applies where the content of the relevant research topic is the prime determinant of the software to be used. Therefore, though I am not an advanced expert in any specific software, I have had training in a range from introductory to advanced levels in most. I also had extensive experience in most common statistical, database, analysis, and reporting applications for a given field of research. While using MS Excel, VBA, and SAS software in data collection and processing, I employ Eviews, Matlab, Stata, and WEKA for analysis purposes. For Data Mining and Machine Learning analyses, I use WEKA and purpose-built Java codes, and for network research, I employ NodeXL. I also started learning Python, R, and JavaScript but they are still at an intermediate level.
4. Experience in the management of international statistical databases and the production of statistical data at the international level: Having worked as the representative of CBRT before ECCBSO for three years, I made the necessary theoretical and conceptual preparations for the harmonization with the BACH database. We could not integrate the data with any of the databases during that period due to structural inconsistencies at that time. However, It is now possible to contribute to the current databases, and shortly, it will be possible to integrate with the BACH database, mostly based on the preliminary studies I did. The ECCSBSO databases for which Turkey's data are available today are the Trade Credit and Financing Cost Data Bases, which are under the responsibility of the ERICA and FSA Working groups. One can obtain information about those databases at https://www.eccbso.org/wba/databases.
5. Experience in developing methodological statistical standards: My work descriptions had always involved using and manipulating/fine-tuning (if not developing) statistical standards at both usage and design levels, including all stages. Design efforts, like platform development, user interfaces, data forms, online manuals, and WIKI pages, all designate some sort of statistical standard for data to collect and use. Hence, though I cannot specifically identify a particular standard, I developed or helped develop; I can comfortably say that examples include some of them in a couple of my works. I can tell “Integrated Company and Real Sector Analysis Platform”, “Integrated Structural Economic Research Department Database, and Data Warehouse Research Platform”, to name a few. For details, please refer to the resume or have me refine the matter if needs be.
6. Experience in project management, as well as evidence-based policy formulation: As described on my resume, most of the work I carried out in the Statistics Department, involved project management by definition. From the very early days on, I worked on all stages of several projects and managed the most. All, as they were meant to assist the policymakers in their decision-making, involved design criteria for policy formulation from the very start. “Integrated Company and Real Sector Analysis Platform” and “Integrated Structural Economic Research Department Database, and Data Warehouse Research Platform” were designed for helping them analyze the real sector, “Bank Financial Stability, Strength and Rating Estimation, and Evaluation Project” for the analysis of bank and real sector relationship, etc. Other projects listed on the CV can be further examples of those projects I worked on at all stages through the years.
7. Experience in education and training of colleagues as part of personal development strategy: As a considerably recent development in my career, I have been selected as an in-house tutor for Data Analytics and Visualisation, Data Mining, and Machine Learning subjects. Though I haven't started teaching yet, in a couple of months this will probably be a part of my curriculum/agenda.
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