Data & BI
- Power BI Advanced
- DAX Advanced
- Data visualization Advanced
- Tableau Intermediate
- Microsoft Excel Advanced
- SSIS (ETL) Intermediate
- SSAS (OLAP) Intermediate
- Business intelligence tools Advanced
Databases & SQL
- SQL Advanced
- SQL Server Advanced
- MySQL Intermediate
- PostgreSQL Intermediate
- Data management Intermediate
Analytics & more
- Python (Pandas & analytics) Intermediate
- Reporting & automation Advanced
- Problem solving Advanced
- Stakeholder communication Advanced
Hamrahtel
–
Data Analyst
- Analyze business and operational data for the Business Intelligence team.
- Prepare analytical reports for multiple departments and monitor key metrics across the organization.
- Design and develop BI dashboards; turn raw data into actionable insights to support decisions and improve performance.
- Collaborate on data analysis, reporting automation, and ongoing metric tracking.
Farda Motors
–
Data Analyst
- Analyzed inventory components and assessed orders versus parts required by different units.
- Performed inventory control and analysis to optimize stock levels.
- Examined periodic and seasonal demand for parts to support efficient planning and procurement.
Islamic Azad University of Qazvin (QIAU)
–
Master's degree — International Business Management
Islamic Azad University of Qazvin (QIAU)
–
Bachelor's degree — Banking Management
Sematech IT Training Center
Advanced Business Intelligence
- Data warehouse design and optimization; ETL with SSIS; OLAP modeling with SSAS; reporting with SSRS.
- Advanced Power BI: DAX, row-level security (RLS), and performance tuning on real-world business projects.
Power BI
- End-to-end BI dashboards: integration, transformation (ETL), visualization, DAX, publishing, and RLS for sales, finance, and HR.
Highlights
- Completed advanced Power BI training with hands-on DAX and interactive dashboards.
- Built and presented analysis projects using Excel, Python (Pandas), and Power BI.
- SQL bootcamp covering queries, database design, and data management on SQL Server, MySQL, and PostgreSQL.
- Applied SSIS and SSAS in practice projects to improve data processing workflows.
- Delivered dashboards in Excel, Power BI, and Tableau to communicate findings to stakeholders.