S. MURAT CAKIR Email: earloflondon@gmail.com Central Bank of the Republic of Turkey Structural Economic Research Department Ankara, Turkey Phone: +90 505 726 2022 LinkedIn: /murat-cakir-422b804/
PROFILE
Seasoned multidisciplinary DM&ML field expert and research analyst highly driven by the exciting nature of hands on exhaustive data analysis, having dealt with primarily accounting, finance and economics data and statistics for over 20 years. Holds insatiable desire and controlled grit for learning new knowledge technologies. Proven track record of innumerable studies covering different disciplines including reports, notes, analyses, statistics and research for internal use, in policy-making and informing the public. Designed, managed and implemented projects that are still being in use in situ and/or inspired various others utilized elsewhere. Bringing forth the ability to approach the issues with a polymathic and systemic mindset to offer the incumbents the best products and services.
PROFESSIONAL SUMMARY
Design, Programming and Database Management Project Development: Originated the 2nd generation platform idea. Co-developed its conceptual design with IT. Independently designed the 3rd generation platform.
IT Collaboration: Collaborated on online report dissemination and website servicing. Led analysis efforts with IT project groups.
Database Management: Created and managed sub-databases. Ensured data integrity and consistency.
Data Analysis and Reporting: Conducted diverse analyses. Managed data processing and report generation.
Automation Projects: Contributed to automation initiatives. Designed system analysis pseudo-codes. Overall, your role seems to have been crucial in the development, management, and improvement of analytical platforms and processes within your organization, with a focus on integrating technology with data analysis for informed decision-making.
Data Management Data Integrity: Ensure accuracy and consistency of raw and processed data.
Financial Data Processing: Gather, correct, and process financial data from banks and firms. Public Financial Data Compilation: Collect and rectify financial information from public sources. Data Correction and Organization: Rectify errors and organize data systematically.
Firm Categorization: Categorize firms based on various criteria.
Software Application Usage: Utilize specialized software for data collation and analysis.
Database Management: Transfer processed data, maintain integrity, and generate reports. Overall, your responsibilities encompass a wide range of tasks related to data management, financial analysis, and decision support within the financial and industrial sectors
Analysis, Reporting, Data Dissemination and Publishing Financial Statement Analysis: Analyze aggregated financial statements statistically and dynamically for manufacturing and services sectors. Conduct detailed financial analysis for individual firms, evaluating performance and trends.
Report Preparation: Prepare electronic and printed financial reports for online and offline distribution. Generate standard and ad-hoc reports for senior management, stakeholders, and the public.
Sector-Based Data Analysis: Analyze sector-specific data to identify trends and opportunities. Produce reports for academic research and public consumption on sector performance.
Management Reporting: Provide standard and ad-hoc reports to upper management. Present key financial metrics and insights to support decision-making.
Firm and Sector Analysis: Conduct comprehensive analysis of firms within manufacturing and services sectors. Prepare reports on financial health, competitive positioning, and strategic outlook.
Academic Research and Consultancy and Teaching and Tutoring General and Other Efficiency Enhancement: Improved report quality and efficiency through automation. Provided feedback on financial stability and policy framework.
Research Activity Enhancement: Boosted departmental research activities and developed original project ideas.
Data Analysis and Modeling: Utilized data mining and machine learning for financial system assessment. Developed quantitative methods for analysis.
Project Management: Guided project teams and organized testing procedures effectively.
Database Management: Prepared and maintained database libraries for streamlined data management.
Platform Management Documentation: Created and updated manuals and Wiki pages for online platform management.
Team Management: Directed teams of 5 to 10 members, resolving key project issues and improving performance and fund utilization. Mentored staff to enhance task leaders and assistants' performance.
Data Management and Analysis: Provided tutorials on data management techniques and offered technical recommendations. Conducted thorough data validation and presented models for business team review. Utilized exploratory data analysis to identify patterns and trends.
Project Coordination and Client Interaction: Coordinated with external companies for data integration and acted as the primary client contact. Managed financial, sectoral, and economic analysis projects, introducing significant improvements. Interacted with the community to coordinate country assistance programs.
Automation and Process Improvement: Implemented automation to streamline processes and increase productivity. Introduced improvements in research systems for enhanced resource management.
Report Generation and Stakeholder Engagement: Created reports and statistical analyses, providing a framework for evaluating techniques. Collaborated with stakeholders to identify process improvement opportunities and external data sources.
Leadership and Initiative: Spearheaded the innovative [Project Name], from inception to Board presentation, pioneering a unique initiative. Successfully advocated for transitioning from [Previous Program] to [New Program], resulting in widespread implementation.
Project Management: Oversaw project design, regulation, and daily management. Analyzed business performance, developed workflow diagrams, and ensured projects were completed on time and within budget.
Business Analysis and Financial Reporting: Provided guidance to junior analysts and conducted impact analysis of technology changes. Generated financial statements, including cash flow charts and balance sheets, for sectors and overall. Conducted proprietary risk analyses and prepared routine and ad-hoc reports for upper management.
Budgeting and Forecasting: Produced various financial reports, budgets, and forecasts, ensuring accuracy and alignment with business goals.
Work Experience Roles and Responsibilities: Managed design, programming, database management, analysis, reporting, and team membership across various reports. Oversaw team efforts and organized work streams, leading and guiding project groups.
Project Management: Led and organized multiple project and work groups, both domestically and internationally. Represented the organization in meetings and made presentations at various forums.
Reporting and Presentation: Prepared ad-hoc reports and technical notes for upper management, academia, and the public. Presented findings to stakeholders at meetings and workshops.
Automation and Productivity: Implemented automation to enhance productivity, reducing manpower needs and minimizing errors.
Projects Portfolio Efficiency and Quality Enhancement: Improved efficiency and report quality through automation. Provided feedback on financial stability and policy frameworks.
Project Development: Conceived original project ideas and designed conceptual frameworks.
Analytical Methods and Management: Applied analytical methods and developed proprietary quantitative techniques. Managed project teams and organized project tests.
Database and Platform Management: Prepared database libraries and maintained online platform management manuals and Wiki Pages.
General and Other Team Oversight and Planning: Supervised teams across various levels. Organized work streams for different groups.
Leadership and Collaboration: Led and guided multiple project groups. Held positions such as Information Security Group correspondent.
External Collaboration and Representation: Collaborated with the Ministry of Finance. Represented the organization at meetings.
Contributions to Reports and Publications: Contributed to the Financial Stability Report. Analyzed data dissemination methods and prepared reports.
Manual Preparation: Authored the "Statistics, Data, and Database Management Manual."
EXPERIENCE
Sep, 2017 - Present Seasoned Expert and Research Analyst Central Bank of the Republic of Turkey - Structural Research
Mar, 2014 - Sep, 2017 Experienced Expert Central Bank of the Republic of Turkey – Statistics
Feb, 2006 - Feb, 2014 Senior Specialist Central Bank of the Republic of Turkey – Statistics
Oct, 2001 - Feb, 2006 Specialist Central Bank of the Republic of Turkey – Statistics
Oct, 2001 - Feb, 2006 Officer Central Bank of the Republic of Turkey
–Statistics Professional experience in data analysis, including collection, compilation, and dissemination of statistical data. Proficiency in applying and/or developing quantitative research methods in compliance with standard statistical principles. Skilled in using statistical software packages such as STATA and R as required. Experience in managing international statistical databases and producing statistical data at the international level. Familiarity with developing methodological statistical standards to ensure data quality and consistency. Experience in project management and evidence-based policy formulation. Capable of providing education and training to colleagues as part of personal development strategies.
#4 SKILLS Microsoft Office (Advanced Proficiency) | SAP | TRS | LARS | LMS | Adobe Acrobat | SharePoint
EDUCATION
Sep, 2000 Oct, 2001 MSc in Finance - Bayes Business School, City, University of London Sep, 1997 Jan, 1999 Special Studies in Economics (Master Level) - Middle East Technical University Sep, 1991 Jul, 1996 BSc in Management - Middle East Technical University Computing and Analysis Skills, and
Certificates Computing Skills:
Office Productivity Tools: MS Office 2019 (Excel & VBA, Word, PowerPoint, Access), MS Power BI, Power Pivot, Report Builder Database Querying and Reporting: Business Objects Web Intelligence, MS Query, Oracle
Business Intelligence, SAS Enterprise Guide, PostgreSQL Data Analytics and Visualization: Tableau, MS Power BI, MS Power Pivot, Google Data Studio
Data Analysis and Statistics: SAS Base, MATLAB, R, Python Statistics and Econometrics: MATLAB, WinRATS, STATA
Programming Languages: VBA, R, Python, JavaScript
Data Mining, Machine Learning, and Data Science: WEKA, KNIME, MOA, ADAMS, MEKA, Google Colab
Network Analysis: NodeXL, Gephi
Computing Certificates
Data Science, Data Analysis and Analytics
• The Data Science Course 2022: Complete Data Science Bootcamp (UDEMY)
• The Data Analyst Course: Complete Data Analyst Bootcamp 2022 (UDEMY) • The Complete SQL Bootcamp 2022: Go from Zero to Hero (UDEMY)
• Advanced SQL Bootcamp (UDEMY)
• Statistics for Data Science and Business Analysis (UDEMY) • Data Science A-Z™: Real-Life Data Science Exercises Included (UDEMY) • Learning Python for Data Analysis and Visualization (UDEMY)
• Introduction to Data Science in Python (DATACAMP)
• Introduction to Accounting Data Analytics and Visualization (COURSERA)
• Accounting Data Analytics with Python (COURSERA) • Data Manipulation at Scale: Systems and Algorithms (COURSERA)
• R Programming (COURSERA) Data Mining and Machine Learning
• Data Analyzing and Machine Learning Hands-on with KNIME (UDEMY) • Machine Learning, Data Science and Deep Learning with Python (UDEMY)
• Python for Data Science and Machine Learning Bootcamp (UDEMY)
• Machine Learning A-Z™: Hands-On Python & R in Data Science (UDEMY)
• Data Mining for Business in Python (UDEMY)
• Professional Certificate in Data Mining & Machine Learning (UDEMY) • Data Mining with R: Go from Beginner to Advanced (UDEMY) • Data Mining with Weka (FUTURELEARN) – Introductory / Certified • More Data Mining with Weka (FUTURELEARN) – Intermediate • Advanced Mining with Weka (FUTURELEARN) – Advanced • Machine Learning for Accounting with Python (COURSERA) • Applied Text Mining in Python (COURSERA) • Applied Machine Learning in Python (COURSERA)
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