Exploring new technologies and analytics solutions, and using depths of knowledge in statistics and various machine learning tools to forecast and classify patterns in the data.
Increasing performance and accuracy of machine learning algorithms through fine-tuning and further performance optimisation.
Liaising and working closely with team and clients to clearly define and establish the requirements for each task.
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Assist in integrating data from multiple sources, including building management systems (BMS), IoT devices, email, SharePoint, ERP/CRM systems, spreadsheets, databases, and other business applications.
Support data analytics, engineering data analysis, dashboards, and reporting initiatives for property operations, asset management, M&E performance monitoring, predictive maintenance, energy consumption analysis, and ESG tracking.
Analyze engineering and operational data to identify trends, equipment performance issues, maintenance opportunities, process improvements, and energy efficiency enhancements.
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