Randula Jayarathna

Ran daily floor operations across departments on a high footfall central London site, coordinating staff and suppliers against service and KPI targets. Forecast demand and set stock levels from sales data.

Single point of contact for client teams on pricing, promotion, and inventory data faults. Built SQL and Python pipelines measuring sales uplift and revenue impact, and automated dashboards for promotion KPIs.

Led 30+ staff across multiple cafe sites, holding service quality and sales targets. Cut wastage 15% through order planning and inventory control while protecting availability.

Supervised shift teams and resolved customer complaints directly at the counter.

Held customer satisfaction above 96% through team coaching and order accuracy checks. Ran stock audits and replenishment against demand forecasts, cutting over ordering and waste.

Supervised floor teams and customer enquiries, holding stock accuracy and presentation standards.

Handled 150+ tickets weekly across a 30M+ subscriber platform with 98% SLA compliance. Held 99.99% uptime on 24x7 on-call, cut MTTR by 35%, and scripted away 40% of manual checks.

Delivered L3 support for McDonald's retail data integration on MS BizTalk EAI, keeping 34,000+ locations in sync. Traced message flows to isolate failed transfers and brought new markets live.

Built backend services for an insurance platform sustaining 150+ queries per minute, improving SQL handling and transaction stability.

Grade: Merit

MSc in Data Science with Merit, covering machine learning, statistical modelling, data engineering, big data, and applied research methods. Dissertation built a supervised classification system for fraudulent email detection.

Grade: Second Class Honours Upper Division

BSc (Hons) Software Engineering with Second Class Honours Upper Division, covering software design, databases, algorithms, object oriented programming, and systems engineering.