Giter Club home page Giter Club logo

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

Andrew Li's Projects

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

incubator-superset icon incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kube-prometheus icon kube-prometheus

Use Prometheus to monitor Kubernetes and applications running on Kubernetes

kuberay icon kuberay

A toolkit to run Ray applications on Kubernetes

machine-learning-course icon machine-learning-course

:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.

modin icon modin

Modin: Speed up your Pandas workflows by changing a single line of code

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

python icon python

All Algorithms implemented in Python

python-glmnet icon python-glmnet

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.