teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy
improvement, slopes stability, embankments, groundwater modelling and dewatering, deep excavations, earthquake engineering
needs and challenges. Develop business process models as required per project. Ensure effective communication Specification (BRS). Conduct business process modelling (using BPMN Notation). Conduct business case development
support high performing ML algorithms, predictive models and support real-time data visualisation requirements Agile methodology Knowledge of retail industry data models Advanced knowledge of compliance and IT governance
protection Motors and drives Power system studies/modelling /simulations using DigSilent Powerfactory Must
DevOps CICD Synaps (beneficial) Power BI / Semantic Models / Reports experience Fabric (beneficial) Logic
Waterfall) and techniques (e.g., process modelling, data modelling, use case analysis). Excellent analytical
Waterfall) and techniques (e.g., process modelling, data modelling, use case analysis). Excellent analytical
Wireshark analysis . Strong experience on TCP/IP Model identifying network issues , and Corelating Packets
stakeholders Applies advanced problem-solving skills and models scenarios that may lead to sales opportunities