Sultan Mammadov

• Utilized Python and Excel to clean, preprocess, and transform raw data for reporting and analysis. • Automated tasks using Python or Excel macros to improve efficiency. • Wrote and optimized SQL queries to extract data and create views. • Prepared and presented accurate KPI and metric reports to stakeholders.

•Utilize SQL, Python, and Excel to extract, transform, and analyze data. •Perform statistical analysis to generate insights. •Maintain and optimize databases using SQL to ensure efficient storage, retrieval, and data integrity. •Manage and update SQL tables and views for analysis and reporting. •Develop and maintain Python scripts to automate and streamline data tasks.

• Collect and interpret credit data to provide actionable insights for management. • Create and maintain Power BI dashboards to visualize key metrics and trends. • Create BPMN diagrams to map the Credit processes. • Conduct risk reviews of the credit portfolio to identify potential risks. • Develop RPA solutions for processes. • Apply statistical analysis to credit portfolio using Excel to extract valuable insights. • Assess and set credit limits by analyzing financial statements and customer profiles.

Analyzing financial statements customers. Create self-service reports on Power BI Credit approval and credit release of customers Risk Review of Portfolio with Statistical Analysis on Excel

General Ledger Maintenance Fixed Cost Accruals (PO and No PO) Interco Checks, SKF (Statistical Key Figures) Preparation Clearing Documents and Accounts