Hyubbbb/Daily_SQL
Mar 2026 – Apr 2026
2 Months active
Languages Used
SQL
Technical Skills
Database ManagementSQLSQL queriesSQL queryingdata analysisdatabase management
seoyeoning
PROFILE
Seoyeoning
Worked on the Hyubbbb/Daily_SQL repository to deliver robust data retrieval, analytics, and reporting features focused on appointment management, sales summaries, and adoption tracking. Applied advanced SQL techniques such as JOINs, CTEs, and recursive queries to ensure accurate data modeling across appointment, patient, and doctor tables, as well as comprehensive reporting for book sales and adoption hours. Addressed bugs related to rental period calculations and user analytics, improving data accuracy and reliability. Enhanced code maintainability by refactoring queries and standardizing formatting. Demonstrated strong skills in SQL, data analysis, and database management, resulting in cleaner workflows and reduced maintenance risk.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
22Total
Bugs
4
Commits
22
Features
7
Lines of code
295
Activity Months2
Your Network
1153 peopleWork History
April 2026
6 Commits • 3 Features
Apr 1, 2026April 2026 monthly summary for Hyubbbb/Daily_SQL focusing on data accuracy, reliable reporting, and maintainability. Delivered key features for adoption data and sales reporting, and implemented critical fixes to user analytics and skill evaluation. These efforts improved business value by providing precise dashboards and scalable SQL patterns, while reducing the risk of incorrect insights.
6 Commits • 3 Features
Apr 1, 2026April 2026 monthly summary for Hyubbbb/Daily_SQL focusing on data accuracy, reliable reporting, and maintainability. Delivered key features for adoption data and sales reporting, and implemented critical fixes to user analytics and skill evaluation. These efforts improved business value by providing precise dashboards and scalable SQL patterns, while reducing the risk of incorrect insights.
April 2026
March 2026
16 Commits • 4 Features
Mar 1, 20262026-03 Monthly Summary — Hyubbbb/Daily_SQL: Delivered robust appointment data retrieval, enhanced analytics, and code cleanup. Key features include: 1) Appointment Details Data Retrieval and Date Handling: Implemented date-filtered appointment lookups across APPOINTMENT, PATIENT, and DOCTOR with active filter and robust TIMESTAMP handling (DATE() usage) and clean JOIN paths (APPOINTMENT as base, joined via PT_NO and DR_ID). 2) Used Goods Board Attachments Retrieval: Added WITH-based query to fetch attachment file paths for the most viewed post by joining the top-board_id result to used_goods_file. 3) Medical Appointment Query Cleanup: Removed outdated non-canceled appointment query to simplify flow. 4) Analytics and Reporting Enhancements: COUNT(DISTINCT user_id) by month and gender to avoid duplicates; category max price with product names via a CTE and join for accurate product-level pricing insights. 5) Bug fix: Rental Period Calculation: Inclusive calculation using end_date - start_date + 1 to avoid undercounting. 6) Code Hygiene: Consolidated metadata/no-op commits and removed obsolete files. Impact: Improved data accuracy for analytics (actual unique users, precise pricing insights), reliable daily appointment lookups, and a cleaner, more maintainable codebase with reduced maintenance risk. Technologies/Skills Demonstrated: Advanced SQL (JOINs, CTEs, WITH, DATE(), COUNT(DISTINCT)); data modeling across APPOINTMENT/PATIENT/DOCTOR with PT_NO/DR_ID; query optimization via WITH subqueries; and Git hygiene (removing outdated files, meaningful commits).
March 2026
16 Commits • 4 Features
Mar 1, 20262026-03 Monthly Summary — Hyubbbb/Daily_SQL: Delivered robust appointment data retrieval, enhanced analytics, and code cleanup. Key features include: 1) Appointment Details Data Retrieval and Date Handling: Implemented date-filtered appointment lookups across APPOINTMENT, PATIENT, and DOCTOR with active filter and robust TIMESTAMP handling (DATE() usage) and clean JOIN paths (APPOINTMENT as base, joined via PT_NO and DR_ID). 2) Used Goods Board Attachments Retrieval: Added WITH-based query to fetch attachment file paths for the most viewed post by joining the top-board_id result to used_goods_file. 3) Medical Appointment Query Cleanup: Removed outdated non-canceled appointment query to simplify flow. 4) Analytics and Reporting Enhancements: COUNT(DISTINCT user_id) by month and gender to avoid duplicates; category max price with product names via a CTE and join for accurate product-level pricing insights. 5) Bug fix: Rental Period Calculation: Inclusive calculation using end_date - start_date + 1 to avoid undercounting. 6) Code Hygiene: Consolidated metadata/no-op commits and removed obsolete files. Impact: Improved data accuracy for analytics (actual unique users, precise pricing insights), reliable daily appointment lookups, and a cleaner, more maintainable codebase with reduced maintenance risk. Technologies/Skills Demonstrated: Advanced SQL (JOINs, CTEs, WITH, DATE(), COUNT(DISTINCT)); data modeling across APPOINTMENT/PATIENT/DOCTOR with PT_NO/DR_ID; query optimization via WITH subqueries; and Git hygiene (removing outdated files, meaningful commits).
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Quality Metrics
Correctness95.4%
Maintainability90.0%
Architecture89.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQL
Technical Skills
Data AnalysisDatabase ManagementSQLSQL queriesSQL queryingdata analysisdatabase management
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