orcahmlee/ml-cheatsheet

Machine learning cheatsheet

Hi there, I am Andrew.

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.

EXPERIENCE

• 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.

SKILLS (Data Science and Development)

• 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

SKILLS(Chemical Engineering)

• Solvent recovery
• Analytical Chemistry
• Polymer Science
• Microbial Metabolism, Genetic Engineering, Bacterial Fermentation