A SSMS (SQL Server Management Studio) extension for SQL completion, formatting, and result export. Features bilingual UI (δΈζ/English), query history, and F12 go-to-definition.
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Updated
Oct 29, 2026 - C#
A SSMS (SQL Server Management Studio) extension for SQL completion, formatting, and result export. Features bilingual UI (δΈζ/English), query history, and F12 go-to-definition.
End-to-end Data Analysis on Blinkit sales: SQL for cleaning/KPIs (Fat Content standardization), Python for advanced correlation & predictive modeling, and Power BI for a professional, actionable dashboard.
building a data warehouse using with SQL server ,including ETL process , data modeling , data Analytics
An experimental T-SQL visualization toolkit for SQL Server Management Studio. Compose shapes, text, scales and layouts into custom visualizations, or use built-in charts. Minimal boilerplate, pure T-SQL. Early version with an unstable API.
Address book, to add, edit, search contacts. Sort them by tags or categories. The idea is to use the Mediator design pattern, the idea is to start simple and add functionality little by little, and learn how MediatR scales in growing applications. [App under construction]
Full-stack E-Ticketing & Payment Platform with Double-Entry Ledger β ASP.NET Core 8, React 18 (TypeScript), SQL Server, Docker
A Financial-Loan Analysis project done by using SQL, Dataflows and Power BI Desktop.
SQL Music Library Project (When i was studying bscs bachelor of science in computer science) and was in my 6th semester, there was a 6th semester project that i completed and thsi was the subject of database systems and i used my sql music library database and sql server management studio software in that project.
A full-scale real-world data analytics case study analyzing NHS A&E Emergency Care performance (2024β2025) using Power BI, Azure SQL, and Python. Designed for both technical and non-technical audiences.
Extracted data with python script, Designed and implemented a Data Warehouse using a star schema with transactional fact tables and fully-additive measures. Automated the ETL process (incremental loading, transformations in staging, and loading to DWH) using SSIS. Queried, deployed and scheduled data workflows via SSMS, Dashboarding using Power BI.
Customer shopping behavior analysis using Python, SQL, and Power BI.
An SSMS plugin that streamlines SQL development with workflow enhancements.
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