Context
An industrial stock-management project needed better visibility into expiration risk and product-loss drivers.
AI · Analytics · BI
Predictive Stock Analytics
Predictive models, Dataiku workflows and Power BI dashboards designed to support stock decisions and limit expiration-related losses.
Pythonpandasscikit-learnDataikuPower BIFastAPI
Primary impact
Operational data converted into decision supportOperational data converted into decision support
Stock data
Preparation
Feature flow
Predictive model
Power BI
Context & challenge
Why the work mattered.
Challenge
Operational information required preparation, modelling and accessible reporting before teams could use it consistently in decisions.
Solution
Prepared and orchestrated data workflows, developed predictive models, and delivered Power BI dashboards that surfaced stock-management insights.
My contribution
- Prepared and explored operational datasets with Python
- Developed and evaluated predictive models
- Orchestrated workflows in Dataiku
- Built decision-oriented Power BI dashboards
- Connected analytical outputs to stock-management use cases
Outcomes
- Supported earlier identification of expiration-related risk
- Improved visibility into stock-management indicators
- Created a repeatable analytics workflow
- Connected model outputs to business-facing dashboards
Discuss your needs
What would you like to build or improve?
Tell me about your idea, the system you want to improve or the support your team needs. I can help define a clear scope, even without a technical specification.