Masters student in Data Science at the University of Melbourne, detail-oriented and analytical, with strong programming skills in R and Python, and expertise in data analysis and visualization using tools such as Excel and Power BI. Familiar with large data sets, developing predictive models and practical applications of machine learning algorithms such as Random Forest. Seeking an internship to apply data-driven insights and contribute to impactful projects, while developing technical expertise in a collaborative environment.
Description:Online inventory management system for small hardware enterprises, including the management of various information of employees and customers inbound and outbound sales and returns, data analysis and dynamic visualisation of inventory and inbound and outbound information.
Technologies: Python, SQL,Power BI,Java,Spring Boot,Tomcat
Description:Intelligent tourism operation system, including scenic spot commodity marketing management, data visualisation and data analysis of scenic spot commodities and scenic spot traffic data to optimise the economic benefits of the scenic spot.
Technologies: Python,Machine Learning Models,Java, Vmware Workstation Pro,SSM, Dubbo and Zookeeper cluster.