belgio99/smartfactory
Nov 2024 – Dec 2024
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCode OrganizationData AnalysisData Cleaning
GDM99
PROFILE
Gdm99
Giovanni De Marco developed prompt classification and KPI-driven analytics features for the belgio99/smartfactory repository over a two-month period. He built an end-to-end Jupyter notebook workflow that classifies user prompts using a Gemini 1.5 API, generating labeled datasets and integrating a query generator to automate KPI engine and predictor API calls. His work included robust error handling, ambiguous KPI resolution, and post-processing checks to ensure reliable analytics and reporting. Leveraging Python and data engineering skills, Giovanni refactored project structure, improved code documentation, and addressed stability issues, resulting in a scalable, well-organized backend that supports advanced time series analysis and reporting.
Overall Statistics
Feature vs Bugs
52%Features
Repository Contributions
28Total
Bugs
10
Commits
28
Features
11
Lines of code
2,926
Activity Months2
Your Network
23 peopleSame Organization
@studenti.unipi.it5
Work History
December 2024
24 Commits • 10 Features
Dec 1, 2024Month: 2024-12 — Delivered KPI-driven improvements, robust query generation, and reliability enhancements in belgio99/smartfactory. Key features shipped include Query Generation Improvements with ambiguous KPI handling, KPI Engine integration with predictor and post-processing checks, and report generation support. Major bug fixes addressed stability issues in KPI retrieval, parsing, class consistency, and prompts. These efforts yield stronger business value through more accurate KPI-based queries, reliable time-window predictions, and improved readiness for analytics and reporting.
24 Commits • 10 Features
Dec 1, 2024Month: 2024-12 — Delivered KPI-driven improvements, robust query generation, and reliability enhancements in belgio99/smartfactory. Key features shipped include Query Generation Improvements with ambiguous KPI handling, KPI Engine integration with predictor and post-processing checks, and report generation support. Major bug fixes addressed stability issues in KPI retrieval, parsing, class consistency, and prompts. These efforts yield stronger business value through more accurate KPI-based queries, reliable time-window predictions, and improved readiness for analytics and reporting.
December 2024
November 2024
4 Commits • 1 Features
Nov 1, 2024Month 2024-11 Key Deliverable: Prompt Classification and KPI Engine Integration for RAG in belgio99/smartfactory. Implemented an end-to-end notebook workflow that classifies user prompts into labels (predictions, new_kpi, report, kb_q, dashboard, kpi_calc) using a Gemini 1.5 few-shot API. Generated and tested labeled datasets, introduced a query generator to build KPI engine/predictor API calls, and refined validation datasets and notebook examples. Reorganized notebooks under a classifier subdirectory to support RAG enhancements and future KPI integration, establishing a scalable foundation for KPI-driven analytics.
November 2024
4 Commits • 1 Features
Nov 1, 2024Month 2024-11 Key Deliverable: Prompt Classification and KPI Engine Integration for RAG in belgio99/smartfactory. Implemented an end-to-end notebook workflow that classifies user prompts into labels (predictions, new_kpi, report, kb_q, dashboard, kpi_calc) using a Gemini 1.5 few-shot API. Generated and tested labeled datasets, introduced a query generator to build KPI engine/predictor API calls, and refined validation datasets and notebook examples. Reorganized notebooks under a classifier subdirectory to support RAG enhancements and future KPI integration, establishing a scalable foundation for KPI-driven analytics.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.6%
Architecture74.4%
Performance71.0%
AI Usage41.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCode CommentingCode DocumentationCode OrganizationData AnalysisData CleaningData EngineeringData ParsingData ProcessingData ValidationDataset ManagementDebuggingDocumentation
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