Work in Azure AI/IoT support team, responsible for technical support of Azure openai, Azure cognitive service, and Azure IoT products.
Zhongmi Technology Human Resources Management System
1. Data integration, data migration through ETL tools (kettle), etc.
2. Deploy Superset through docker, perform data visualization through Superset, and generate
leadership desktops.
3. Superset secondary development, editing custom plug-ins, react component-oriented
programming to create Superset plug-ins based on Echarts Baidu Map.
Here I learned the use of Superset, kettle (ETL), docker, front-end knowledge related to
react, and data visualization knowledge related to echarts.
Participated in the Bank of China global human resources
management system project and was responsible for the development of non-bank staff modules,
including back-end development and part of the front-end development. Project software and
hardware environment: java, Oracle data Libraries, Websphere middleware, struts framework.
Here I learned and enriched my knowledge
about java back-end development and human resources management system.
Operating system: Windows, Linux (ubuntu, centos, WSL, etc.)
Database: MySQL, SQLserver, PostgreSQL, MongoDB, OrbitDB, Neo4j, etc.; data
integration (ETL):
Kettle, Talend
Middleware: nginx, tomcat
Programming language: Java (eclipse, IntelliJ IDEA), Python, C++
Data visualization: Tableau, Superset, Fanruan, d3 (Observable notebook),
Echarts, etc.
Environment deployment: conda, docker
Machine learning: jupiter (anaconda, vscode); tensorflow, pytorch, keras,
neural network (CNN,
RNN, LSTM, autoencoder), NLP,
word2vec, deep Q-Learning, etc.
Major:
Basics of data science, basics of artificial intelligence, machine learning (ML), natural language processing (NLP), deep learning, data mining, big data analysis, data visualization, probability graphs models, inferential statistics, regression models, parallel computing, game theory, cryptography and security, etc.