I am currently working as a Data Engineer and Data Analyst, besides I am a cross-domain engineer.:smile:
I had experienced in various domains, such as genetic engineering, metabolic engineering, fermentation engineering, filament spinning engineering, solvent recycling engineering, composite materials engineering, and full-stack development.
Base on the above experiences, I am good at communicating with people who work in different fields. Because of my experience in multiple domains and I am always thinking out of the box, I could provide some fresh ideas for a new project or solutions during brainstorming.
The above experiences do not seem to be related, but they truly connect each other by DATA.
- Data Engineer
- Using machine learning to solve real-world problems.
- Building and deploying the end to end machine learning web application.
- Chemical Engineer
- Prototyped the products of the thermoplastic composite materials.
- Worked with the solvent recovery system which maximum capacity is 400 m3/day.
- Reserch Assistant
- Dedicated to Microbial Metabolism, Genetic Engineering and Bacterial Fermentation.
- Programming languages: Python, R, Bash, JavaScript, Java, Golang
- Machine learning: Pandas, Numpy, Scikit-learn, XGBoost, Scipy, Sympy
- Data visualization: Matplotlib, Seaborn, Plotly, Dash, Folium
- Web scraping: Requests, Selenium, Beautiful Soup
- Web development: Django, Flask, RESTful API, Celery, AJAX, jQuery
- Operating system: CentOS 7, Ubuntu
- Database: PostgreSQL, MySQL, SQL Server, Oracle Database
- DevOps: git, Airflow, Nginx, Docker, Docker Compose, Jenkins
- Cloud providers: GCP
- Solvent recovery
- Analytical Chemistry
- Polymer Science
- Microbial Metabolism, Genetic Engineering, Bacterial Fermentation