Use Spark and Hive to collect and clean the big data of user counters, OTC and IB transactions, cooperate with Kylin to analyze user portraits, and provide the results to the business department.Use scrapy to crawl financial information, filter, structure and push it to APP customers.Use scrapy to crawl macro trading data, and cooperate with internal settlement data to generate statistical statements for the analysis of brokerage business department.

Use Python to develop web projects and clean and analyze scientific research dataC# and FORTRAN are used to develop the core calculation program of power plant simulatorDevelop automated test containers, review test plans and unit test contents, and control the quality of products delivered by Party B's teamParticipated in network protection action and participated in network security events on behalf of the State Power Investment Group