
Developed a deployment-ready time-series analytics and data processing platform in the belgio99/smartfactory repository, focusing on scalable KPI characterization, forecasting, and robust API services. Leveraged Python, FastAPI, and Docker to implement modules for trend extraction, ARIMA and SARIMA modeling, and rolling forecasts, with integrated data loading, preprocessing, and visualization. Enhanced reliability through Dockerfile corrections, improved error handling, and API key verification, while preparing the codebase for XGBoost integration and public testing. Organized the codebase with standardized naming and documentation updates, introduced database integration for model management, and strengthened alerting and notification systems to support maintainable, production-ready machine learning workflows.
December 2024 – belgio99/smartfactory focused on improving reliability, security, and readiness for ML deployments, while laying the groundwork for future model integration and public testing. Key container reliability, data handling, and documentation improvements were delivered alongside security enhancements and ops cleanup, driving more predictable builds, safer API interactions, and clearer project onboarding for external verification.
December 2024 – belgio99/smartfactory focused on improving reliability, security, and readiness for ML deployments, while laying the groundwork for future model integration and public testing. Key container reliability, data handling, and documentation improvements were delivered alongside security enhancements and ops cleanup, driving more predictable builds, safer API interactions, and clearer project onboarding for external verification.
November 2024 (belgio99/smartfactory) delivered a cohesive, deployment-ready time-series analytics and data processing stack with a clear path to production. The work emphasizes business value: faster KPI insights, reliable forecasting, and a scalable data-processing API, under a cleaner and more maintainable codebase.
November 2024 (belgio99/smartfactory) delivered a cohesive, deployment-ready time-series analytics and data processing stack with a clear path to production. The work emphasizes business value: faster KPI insights, reliable forecasting, and a scalable data-processing API, under a cleaner and more maintainable codebase.

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