Business Data Science Specialist GCP, BigQuery and AI Platform
Crown Resorts Limited specializes in security services, corporate services, and property services.
15+ years of experience in Data Analytics and Software Engineering using C/C++, Python, and SQL. 15+ years of experience in SQL Programming and Data Science (e.g. Data Wrangling, Data warehousing & ETL, Data Modelling, Predictive Analytics & Machine Learning (classification, regression, and clustering); Decision Support System (DSS), Data Visualization and Automation related to Casino, Telecommunication and Public Health policy management. Practical working experiences in Open Source Data Science Ecosystems such as MySQL, Python (numpy, scipy, scikit-learn, pandas, matplotlib, seaborn, sqlalchemy, theano, keras), XgBoost, tensorflow (Deep Learning), and R (R Client, RStudio). Practical working experiences in Proprietary Data Analytics and Visualisation Tools such as Tableau, MS Excel, and Power BI Desktop. Practical Working experiences in Integrated Data Science Engine such as KNIME and Dataiku DSS. Working experiences in Cloud Computing Platforms such as AWS and Google Cloud. Practical working experiences in running and training large-scale experimental models and simulation on Pawsey Super Computers in Perth, WA. 4+ year experience in cost, cost-effectiveness & cost-benefit analysis and health economics. Practical Work Experiences in descriptive, predictive and prescriptive analytics; Machine Learning & Deep Learning (So far 28 Predictive Models were developed for both Crown Melbourne and Crown Perth, ROI > 800%). Well-versed in the documentation, report presentation, and publication for both technical and non-technical clients (MS Office suite). Excellent Project management skill and proven success in performing tasks as directed by the supervisor/manager. Quickly learn new technologies; equally successful in both team and self-directed settings. Demonstrated skills in critical thinking, complex data modelling and problem solving in the field of Casino business, Telecommunication business, Public Health policy management and Health Economics.
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