- Querying, Data modeling, and Data warehousing in MS SQL Server- Designing ETL process and data pipelines by SSIS and Python- Analytical querying (Cohort, Retention, Customer journey and etc.)- Data science projects (Ranking by reinforcement learning, Customer segmentation by clustering, Prediction of 2nd order by regression, RFM model by clustering, Users gender detection by fuzzy matching of first name and etc.)

Development and maintenance of:- Data warehouse, Data lake and staging DB (MS SQL)- ETL process and data pipelines (SSIS)- Dashboards and reports (SSRS and Power BI)

- Refactoring the structure of database and SPs- File Grouping, Partitioning, Indexing, and Data Compression- Solving complex problems by T-SQL and Python (Graph, Tree, etc.)

- WinApp debugging- SQL database development- ETL and Data migration

- Managing and planning of technical support team- T-SQL programming- ETL and Data migration- Database modeling and development- Analysis and designing financial, statistical, and managerial reports- Contribute to analysis and design of ERP

The scientific and practical project titled "Prediction of disease-free survival of colon cancer patients by data mining and machine learning techniques" on the real database of Omid hospital. (Also, as my master's degree thesis.)- ETL, Data Preprocessing, Data Cleansing, Normalization,…- Classification and pattern recognition (ANN ensemble trained by DE)- Rule extraction to make a comprehensible model from the black-box model