kiemnguyen Goto Github PK

followers: 12.0 following: 19.0 repos: 61.0 gists: 4.0

Name: Kiem Nguyen

Type: User

Company: Accenture

Bio: Developer. Data Junkie. An aspiring member of the Avengers.

Twitter: Kiem_Nguyen

Location: United States

Blog: https://exvy.com

Hi I'm Kiem 👋

👨‍ AI Engineering Manager @ Accenture

export default () => ({
  myStartup: "https://exvy.com/",
  askMeAbout: [
    "Data Science", "Machine Learning", "Deep Learning", 
    "AI", "NLP", "CV",
    "GCP", "AWS", "MLOps"
  ],
  technologies: {
    "Programming Languages": [ "Python", "Java" ],
    "CloudOps": [ "GCP", "AWS" ],
    "Data Science": [ "Redis", "Oozie", "Hadoop", "Hive", "Spark",
                      "TensorFlow", "Keras", "Pandas", "NumPy", "SciPy", 
                      "Matplotlib", "Seaborn", "Scikit-learn", "BeautifulSoup", "Plotly" ],
    "Databases": [ "Oracle", "SQLite", "PostgreSQL", "SQLAlchemy", "MongoDB" ],
    "Web Services": [ "REST", "Flask", "Gunicorn", "Celery", "Jinja2" ],
    "DevOps, Security": [ "Docker", "Kubernetes", "Git", "Jenkins", "Bamboo",
                          "Click", "Maven", "Unix", "Shibboleth SP", "PingFederate" ],
    "Testing": [ "pytest", "Junit", "Cucumber", "Selenium", "SoapUI", 
                 "Fiddler", "JMeter", "BlazeMeter", "Robot FW", "HP ALM" ],
    "Others": [ "Jira", "Agile", "Red Hat Enterprise Linux", "VS Code", "PyCharm" ]
  },
  Experience: [
    "AI Engineering Manager @ Accenture",
    "Machine Learning Engineer @ Nielsen",
    "Artificial Intelligence Fellow @ Insight Data Science",
    "Software Engineer @ Crowe",
    "Software Engineer @ Echo Global Logistics",
    "Software Engineer @ Chicago Mercantile Exchange",
    "Software Engineer @ NexLP",

  ],
   Skills: [
    "Problem Solving", "Time Management", "Rapid Learner", 
    "Leadership", "Team Building", "Decision Making"
  ],
   Interest: [
    "Reading", "Learning",
    "Scuba diving", "Running" 
  ]
});

Kiem Nguyen's Projects

algorithms

:computer: Data Structures and Algorithms in Python

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

android-best-practices

Do's and Don'ts for Android development, by Futurice developers

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-scalability

Scalable, Available, Stable, Performant, and Intelligent System Design Patterns

centos-dockerfiles

Dockerfiles for various common implementations

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

coding-interview-university

A complete computer science study plan to become a software engineer.

cw-android

Source Code to _The Busy Coder's Guide To Android Development_

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science

A portfolio of my Data Science projects.

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.