hpi-sam/ASE-GenAI
Nov 2024 – Nov 2024
1 Month active
Languages Used
SQL
Technical Skills
AI-assisted DevelopmentData AnalysisDatabase Query OptimizationDatabase QueryingSQL
Tonybodo
PROFILE
Tonybodo
Developed an Advanced SQL-based Message Engagement Analytics suite for the hpi-sam/ASE-GenAI repository, delivering a comprehensive set of SQL scripts to analyze messages, likes, and social connections for actionable engagement insights. The work included designing task-specific queries, implementing a query plan visualization, and creating an enhanced broader-network engagement query to support deeper analytics. Leveraged AI-assisted development techniques to document the process and facilitate future knowledge transfer. The project demonstrated end-to-end delivery, progressing from planning through AI-assisted development to integration, and showcased skills in SQL, data analysis, and database query optimization within a focused, feature-driven development cycle.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
627
Activity Months1
Your Network
20 peopleSame Organization
@uni-potsdam.de2
Shared Repositories
18
2raymooriMember
Christian JacobMember
Christian Adriano, PhD candidateMember
David SchlerethMember
sm1llaMember
HendrikDrosteMember
hendrix15Member
Henok LachmannMember
ibrahimozkanMember
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a feature-rich Advanced SQL-based Message Engagement Analytics suite for the hpi-sam/ASE-GenAI project. The feature provides a suite of SQL scripts to analyze messages, likes, and social connections to extract engagement insights, including task-specific queries, a query plan visualization, and an enhanced broader-network engagement query. AI-assisted development notes were included in one dedicated commit to improve traceability and future reuse. End-to-end delivery included three commits that demonstrate progression from planning to AI-assisted development and base integration (7ab6de1fa6a769d93f755778329cfdd6f12ff89f; 4c4d7cffe66a23d3798113fa7ca1c615807dee73; 81a738d4c604a8dd66b9df2afda593391fb30e6d).
3 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a feature-rich Advanced SQL-based Message Engagement Analytics suite for the hpi-sam/ASE-GenAI project. The feature provides a suite of SQL scripts to analyze messages, likes, and social connections to extract engagement insights, including task-specific queries, a query plan visualization, and an enhanced broader-network engagement query. AI-assisted development notes were included in one dedicated commit to improve traceability and future reuse. End-to-end delivery included three commits that demonstrate progression from planning to AI-assisted development and base integration (7ab6de1fa6a769d93f755778329cfdd6f12ff89f; 4c4d7cffe66a23d3798113fa7ca1c615807dee73; 81a738d4c604a8dd66b9df2afda593391fb30e6d).
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance66.6%
AI Usage60.0%
Skills & Technologies
Programming Languages
SQL
Technical Skills
AI-assisted DevelopmentData AnalysisDatabase Query OptimizationDatabase QueryingSQL
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline