Hello! 👋

My name is Zhiqi Yu (pronounced as: Gee-chi Yu). I am a versatile developer and a researcher. This is my site where I occasionally share my thoughts, solutions, achievements, etc. that relate to my work and study. Below is my resumè.

Technical Skillsets

  • Programming Languages
    • Python 3, Java 8, JavaScript (ES6), C/C++, SQL, Bash, Octave (MATLAB), R
  • Web Development Technologies
    • React, Spring MVC, Node.js, Express, Leaflet, D3.js, Bootstrap, Material-UI, MongoDB, SQLite, PostgreSQL
  • Data Science Tools
    • PyTorch, TensorFlow, Keras, Pandas, Jupyter Lab, Matplotlib, Scikit-learn
  • Geospatial Software
    • ArcGIS, Google Earth Engine, PostGIS, GDAL/OGR, ERDAS IMAGINE, ENVI

Education Background

M.S in Computer Science | 2019.8 - 2021.12 (expected)
Georgia Institute of Technology
Specialization: Machine Learning
GPA: 4.0 / 4.0
Courses: Machine Learning, Computer Vision, Operating Systems, Computer Networks, High Performance Computing, Reinforcement Learning, Data visualization & Analysis, Software Development Process

Ph.D. in Earth System and Geoinformation Sciences | 2017.8 – 2021.12 (expected)
George Mason University
Advisor: Dr. Liping Di
GPA: 3.9 / 4.0
Courses: Earth Image Processing, Deep Learning, Data Mining, Web-GIS

M.A in GIS & Spatial Analysis | 2015.8 - 2017.5
The Ohio State University
Advisor: Dr. Ningchuan Xiao
GPA: 3.8 / 4.0

B.Eng in GIS & Remote Sensing | 2011.9 - 2015.6
Wuhan University
GPA: 3.6 / 4.0
Courses: Data Structure, Databases, Computer Networks, Software Engineering, Linear Algebra, Statistics

Certificates

Deep Learning (2018.4 – 2018.9)
deeplearning.ai (Coursera)

  • Course 1: Neural Networks and Deep Learning
  • Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Course 3: Structuring Machine Learning Projects
  • Course 4: Convolutional Neural Networks
  • Course 5: Sequence Models
    Instructor: Dr. Andrew Ng
    Course Materials: Deep Learning Repo

Applied Data Science with Python (2018.1 – 2018.3)
University of Michigan (Coursera)

  • Course 1: Introduction to Data Science in Python
  • Course 2: Applied Machine Learning in Python
  • Course 3: Applied Plotting, Charting & Data Representation in Python
    Instructor: Dr. Christopher Brooks
    Course Materials: Applied Data Science with Python Repo

Machine Learning (2017.12)
Stanford University (Coursera)
Instructor: Dr. Andrew Ng
Course Materials: Machine Learning Repo

Last update: 2/9/2021