·Standardize research center data processes by implementing a standardized supplier data collection workflow based on Hive.·Monitor potential data anomalies to ensure data integrity, timeliness, and accuracy.·Optimize the data quality management system to enhance data reliability and efficiency.·Streamline the end-to-end process from data collection, analysis, to visualization and alerting.·Handle over 100,000 data entries successfully, developing reusable query templates that reduced data processing time by 30%, significantly enhancing team productivity.

Data Mining and Cleaning:Developed Python scripts to conduct in-depth mining and cleansing of over 100,000 academic articles, accurately identifying those pertinent to the digital healthcare domain. This effort significantly enhanced the content quality of an academic WeChat official account, leading to a 20% increase in subscribers and notably amplifying the impact of scholarly communication.Data Analysis:Assisted in designing and executing a feasibility study for a digital diabetes therapy. Leveraged SQL for efficient patient data extraction, complemented by sophisticated statistical analysis and data visualization using Python and Tableau. This approach effectively evaluated patients' glycemic control and treatment outcomes, furnishing robust data support for project decision-making.Data Modeling:Employed the K-means clustering algorithm to meticulously categorize data from thousands of diabetic patients, discerning four primary disease progression patterns. Utilizing advanced machine learning models such as Random Forests and Support Vector Machines (SVM), accurately forecasted patient treatment trends, providing clinicians with a powerful decision-support tool.

Engineering Economics:Developed an evaluation model based on the Decision Tree algorithm specifically aimed at addressing cost-effectiveness issues during the design phase of projects. This significantly enhanced the economic benefits of the projects, ensuring optimal resource allocation and maximization of return on investment.Modeling and Design:Utilized AutoCAD and PKPM software for detailed construction drawing design, actively participating in significant projects such as the Baolong Plaza Commercial Real Estate in the Nanjing Jiangbei New Area and the development of the Gezhouba Gulou New District in Nanjing. In these projects, not only were superior design skills demonstrated but also effective progress was made in advancing project timelines while maintaining high standards of work quality.