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Main Projects

1. Agricultural Insurance Comprehensive Information Platform

Project Description:
This platform serves as the core business platform for agricultural insurance, handling key processes such as underwriting, claims, risk assessment, and settlement. The platform integrates multiple key modules, including GIS, blockchain, and mobile applications, supporting comprehensive digital transformation and efficient management of agricultural insurance operations.

Primary Responsibilities:
As the Project Manager and Development Manager, I was responsible for overall project management and technical leadership, including:

  • Project Management: Led and coordinated all phases of the project, from initiation to closure, ensuring timely delivery and adherence to scope.

  • Requirements Analysis: Conducted in-depth analysis of client needs to define system requirements, ensuring alignment with business objectives.

  • System Architecture Design: Designed and implemented a robust system architecture, focusing on scalability, flexibility, and maintainability, particularly through the adoption of microservices and message queues.

  • Core Functionality Development: Directed the development of essential system functionalities, ensuring high performance, integration, and alignment with technical standards.

  • System Maintenance: Oversaw ongoing system maintenance, including performance optimization, bug fixing, and upgrades, to maintain system reliability and efficiency.

  • Customer Service: Provided continuous client support, addressing their needs and ensuring the system met all functionality and performance expectations throughout the project lifecycle.

Project Achievements:

  • Led the development and implementation of a high-performance Agricultural Insurance Information Platform using Java, Spring Boot, and Oracle, supporting over 1 million daily queries, significantly enhancing system processing capacity and stability.

  • Optimized system architecture and designed and implemented microservices architecture upgrades, significantly improving system flexibility and maintainability, ensuring stable operation under high concurrency scenarios. Introduced microservices architecture and DevOps practices, including automated testing and continuous integration, which enhanced code quality and release efficiency.

  • Optimized data processing workflows, reducing batch processing time from 4 hours to 45 minutes through algorithm improvements and database index optimization, greatly improving system efficiency. Developed and operated ETL processes for seamless handling of complex data, supporting efficient management and real-time analysis of large-scale data.

  • Enhanced data backup and optimization strategies, improving system performance by 25% through improved data processing and storage mechanisms.

  • Led a team to develop multiple key modules under the agile development model, increasing development efficiency by 50% and accelerating project delivery timelines.

  • Provided continuous technical support and system maintenance, successfully reducing system failure rates by 20%, ensuring high system availability.

  • Delivered personalized data services, increasing customer satisfaction by 10% through precise data analysis and customized features.

  • Mentored and trained team members, sharing best practices, helping the team enhance technical skills, and ensuring projects were delivered on time and to high standards.

2. Sales Personnel Management System

Description:
This system manages sales personnel, contracts, and policies to control sales range and commissions. It uses a microservices architecture model and incorporates message queues to provide external data services, ensuring compliance and efficiency in sales activities.

Primary Responsibilities:

  • Project Management: Led the entire project lifecycle, including planning, execution, and delivery, ensuring timely and successful project completion.

  • System Architecture Design: Designed and optimized the system architecture using a microservices model with message queues, enhancing scalability and data access speed.

  • Requirements Analysis: Conducted thorough requirements analysis to align system functionality with business needs and client expectations.

  • Core Functionality Development: Directed the development of key system functionalities, ensuring robust performance and integration with existing systems.

  • Technical Leadership: Provided technical guidance and support to the development team, ensuring best practices in coding, security, and system maintenance.

  • System Maintenance: Oversaw continuous system maintenance, performance optimization, and troubleshooting to ensure high availability and reliability.

  • Customer Service: Collaborated with clients to ensure the system met their requirements, providing ongoing support and adjustments as needed.

Project Achievements:

  • Led the development and implementation of the Sales Personnel Management System, using Java and Spring frameworks to efficiently manage sales personnel, contracts, and policies, ensuring compliance and transparency in sales activities.

  • Designed and optimized the system architecture, adopting a microservices architecture model and incorporating message queues to provide external data services through distributed data management and Restful APIs, significantly improving system scalability and data access speed.

  • Enhanced data query speed by 30% through algorithm optimization and data caching techniques, improving overall system responsiveness.

  • Implemented data security strategies, ensuring the security and privacy of client data through encryption and access control mechanisms.

  • Led the team in an agile development environment, achieving iterative development of multiple functional modules, increasing development efficiency by 40% and accelerating system deployment and launch.

  • Provided continuous technical support and system maintenance, improving system stability by 20% through performance optimizations and critical bug fixes.

  • Mentored and trained team members, enhancing the overall technical skills of the team and ensuring the project was delivered on time and with high quality.

3. Employee Performance System

Description:
This system utilizes operational data from business systems through ETL processes to calculate employee performance, involving data modeling, ETL, metrics development, and data visualization.

Primary Responsibilities:

  • Data System Development: Developed core functions of the data system to support performance calculations.
  • Metrics Development: Designed and implemented performance metrics to accurately measure employee contributions.
  • Data Accuracy Monitoring: Monitored system data accuracy to ensure reliable performance evaluations.
  • Personalized Data Service: Provided personalized data service support to meet specific business needs.

Project Achievements:

  • Enhanced the accuracy of performance calculations by improving ETL processes and data modeling techniques, increasing the precision of performance evaluations by 20%.

  • Designed and implemented complex performance metrics covering multiple business dimensions, enabling the company to evaluate employee performance more comprehensively.

  • Optimized data visualization tools by introducing interactive charts and real-time data updates, allowing management to analyze performance data more intuitively.

  • Reduced data error rates by 15% by implementing data validation and monitoring mechanisms, significantly improving the accuracy and reliability of system data.

  • Provided personalized data service support by customizing data analysis reports according to business needs, enhancing the efficiency and accuracy of management decisions.

4. Business Analysis Platform and Data Express System

Description:
Monitors the company’s business performance metrics, with the Data Express System focusing on premium income and claims payout metrics, calculated daily.

Primary Responsibilities:

  • Data System Development: Developed key data system functionalities to support the monitoring of business performance metrics.
  • Metrics Development: Created and refined metrics for premium income and claims payout, ensuring daily calculations are accurate and timely.
  • Data Accuracy Monitoring: Ensured the accuracy of performance metrics by monitoring and validating data inputs and outputs.
  • Personalized Data Service: Provided customized data service support tailored to specific business needs, enhancing decision-making processes.

Project Achievements:

  • Improved the accuracy of business performance metrics by optimizing data input processes, leading to a 15% reduction in data errors.

  • Enhanced the Data Express System by streamlining the daily calculation processes for premium income and claims payout metrics, reducing processing time by 25%.

  • Developed advanced metrics for real-time monitoring of business performance, allowing for more responsive decision-making and improved operational efficiency.

  • Implemented a robust data validation framework that increased the reliability of performance metrics, significantly reducing discrepancies in reported data.

  • Provided customized data analysis reports that enabled management to gain deeper insights into premium income trends and claims payouts, facilitating better strategic planning.

  • Collaborated closely with cross-functional teams to align data metrics with business goals, ensuring the platform's outputs directly supported the company's strategic objectives.

Explore more of my projects and professional journey on LinkedIn and GitHub.