A collection of SQL scripts designed for data exploration, analysis, and reporting. These scripts cover various types of analysis such as database exploration, metrics calculation, time-based trending, cumulative analysis, segmentation, and more.
The repository contains SQL queries intended to help data analysts and BI professionals explore, analyze, and segment data faster within relational databases. Each script is focused on a specific analysis theme and applies best practices in SQL query writing.
This project uses the MIT License. You are free to use, modify, and share this project with proper attribution.
Hello! I am Afrijal Rasya Putra, an Informatics student who is interested in exploring the world of Data. Although it's still early in my college journey, I'm excited to learn about how data is processed and turned into meaningful information.
📌 I am currently studying:
- Python basic
- SQL and the basics of data manipulation
- Basic concepts of ETL and data pipeline workflows
I love learning and exploring new things, especially those related to data. I am currently building my skills gradually and constantly looking for opportunities to grow. I am also open to internships or collaborative projects that can give me hands-on experience and help my learning process.
📫 Feel free to connect or discuss-I'd love to learn and grow together!
