Designed and implemented a large scale data orchestration and validation framework for a telecom data platform, ensuring reliable delivery of highquality datasets to analytics and downstream systems. This project replaced fragmented legacy processes with an automated solution, and enhanced trust in the data.
View Case StudySimulated end-to-end call centre operations using discrete event modelling to optimise staffing, queue logic, and service levels. The model incorporated realistic arrival patterns and agent handling times to test performance under varying demand.
View Case StudyDeveloped a pipeline to analyze customer service call transcripts using LLMs for automated summarization, sentiment analysis, and issue classification. Enabled faster insight generation and quality monitoring by extracting key themes, and customer intent from thousands of conversations.
View Case StudyDesigned and implemented an optimisation system for municipal waste collection routes, reducing operational costs and improving service reliability. The model accounts for geospatial constraints, traffic patterns, and bin pickup schedules to generate efficient daily routing plans.
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