All work
Business analysis
Cloud-enabled IoT water-quality monitoring
Business analysis for a cloud-enabled water-quality monitoring system using IoT sensors with near real-time updates.
SupportedDelivered
Context & problem
Water quality was being monitored manually, which was slow and labour-intensive.
Why it mattered
Near real-time sensor data lets operators act sooner and spend less time on manual checks.
My role
Business Analyst Apprentice supporting the design and deployment, responsible for requirements documentation and cross-team coordination.
Constraints & stakeholders
- Apprenticeship scope
- Cross-functional team
Approach
- Produced the Software Requirements Specification.
- Modelled the system with UML diagrams and process maps in Visual Paradigm.
- Coordinated cross-functional teams through design and deployment.
What was delivered
- SRS documentation
- UML models and process maps
- Deployed monitoring system (team delivery)
Outcome & status
System deployed with near real-time updates.
Reported figures
- Requirement gaps and rework reduced by 35%.
- Manual monitoring effort reduced by 50%.
As stated in the CV; self-reported.