Python analyse tools

Ruiming Guo

*** ***** ** ****** ** ***.*@************.*** 617-***-**** Linkedin

EDUCATION

Northeastern University, Boston, MA December 2022

Master of Science in Electrical and Computer Engineering GPA: 3.586 Concentration: Computer Vision, Machine Learning, and Algorithms Coursework: Computer Architecture, Fundamentals of Computer Engineering, Introduction to Machine Learning and Pattern Recognition, Advances in Deep Learning, Data Visualization, Database Management University of Shanghai for Science and Technology, Shanghai, China June 2020 Bachelor of Technology in Mechanical Engineering GPA: 3.67 Coursework: Logic Design, Linear Algebra and Probabilities, Computer System and Interface Techniques TECHNICAL SKILLS

Programming Languages: Python, C, C#, C++, JAVA, MySQL Computer tools: Pycharm, IntelliJ IDEA, Visual Studio, Eclipse Java, mySQL workbench, Matlab, Unity, Pytorch

Spoken language: English, Mandarin

ACADEMIC PROJECTS

Northeastern University, Boston, MA

Pedestrian Detection April 2022

Detected the pedestrians by using a Faster R-CNN pre-trained model and used Flask with pycharm to write the back-end

Automatic Colorization December 2021

Colored a gray image automatically by using VGG-16 with Yolact to have a more saturated output, in which the object’s color can be changed arbitrarily Finding the shortest path in Northeastern April 2021

Measured and calculated the shortest path between buildings in Northeastern with Dijkstra’s Algorithm in C++ through CodeBlocks to have a practical application of algorithm University of Shanghai for Science and Technology, Shanghai, China Dormitory Laundry Upgrade System Spring 2019

Designed an auto-loading laundry machine based on STM32 using C, reducing wait time by an average of 30 minutes per student

PROFESSIONAL EXPERIENCE

ORIENT OVERSEAS CONTAINER LINE LTD, Shanghai, China Software Intern July - August 2019

Designed and published a dashboard to exhibit past shipment data based on MySQL and JavaScript to help data analysis so as to increase the shipment delivery monitor system and decrease the error percentage

Designed an APP that could remind customers completing tasks by schedule and sharing feelings and feedback based on Java, JavaScript and Spring Boot utilizing “Test Driven Development” -- TDD, which increased the debugging efficiency and shortened the distance between customers

Researched and applied the end to end process of product design, used agile development and TDD techniques in the program to help increasing efficiency and accuracy

Communicated daily and published the demo product with the least time while meeting the basic requirements to ensure the productivity when collaborating