Yueling W.

Data Scientist at C3 AI
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
San Francisco, California, United States, US

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

5.0

/5.0
/ Based on 1 ratings
  • (1)
  • (0)
  • (0)
  • (0)
  • (0)

Filter reviews by:

Yan Shi

I had the pleasure of working with Yueling. It has been a pleasant journey and I can confidently say that she is one of the most hardworking and technically sound professionals I've ever had the opportunity to work with. Yueling consistently delivered high-quality work even under tight deadlines and pressure. One example of Yueling's outstanding work is when she delivered a series of major changes to 19 data science models under a very short period of time. Despite the challenges, Yueling remained focused and was able to meet the client's requirements while maintaining a high level of technical accuracy. Her dedication to the task at hand was evident in the quality of her work and the efficiency with which she completed it. Yueling also demonstrated an excellent ability to understand and prioritize the client's requirements. She consistently delivered projects that met or exceeded the client's expectations and was able to adapt to changing needs and requirements as they arose. Overall, Yueling is an exceptional data scientist who combines technical proficiency with strong work ethic and excellent communication skills. Her ability to deliver high-quality work under pressure is a testament to her technical abilities and her commitment to our team's success.

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist
      • Apr 2022 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Dec 2021 - Mar 2022

      Use VGG pre-trained model for Image classification, identifying Pediatric Flatfoot through pressure and Xray images. The model reached 96% accuracy on the test set. Use VGG pre-trained model for Image classification, identifying Pediatric Flatfoot through pressure and Xray images. The model reached 96% accuracy on the test set.

    • United States
    • Technology, Information and Internet
    • 100 - 200 Employee
    • Data Scientist Intern
      • Jan 2021 - Aug 2021

Education

  • University of San Francisco
    Master of Science - MS, Data Science
    2020 - 2021
  • Central China Normal University
    Bachelor's degree, Applied Mathematics
    2016 - 2020
  • University of California, Berkeley
    Exchange program, Mathematics, Statistics
    2018 - 2018

Community

You need to have a working account to view this content. Click here to join now