Pu Yang

Pu Yang Email and Phone Number

Machine Learning Engineer @ CWT
United Kingdom
Pu Yang's Location
United Kingdom, United Kingdom
About Pu Yang

Pu Yang is a Machine Learning Engineer at CWT.

Pu Yang's Current Company Details
CWT

Cwt

View
Machine Learning Engineer
United Kingdom
Pu Yang Work Experience Details
  • Cwt
    Machine Learning Engineer
    Cwt
    United Kingdom
  • Cwt
    Machine Learning Engineer
    Cwt Dec 2024 - Present
  • Deepair Solutions
    Machine Learning Researcher
    Deepair Solutions Nov 2020 - Apr 2022
    London, England, United Kingdom
    Working as a Machine Learning researcher designing novel Deep Learning models to predict customer purchase interest in ancillary products. The work has been accepted and published for oral presentation at the 2022 IEEE International Conference on Machine Learning and Applications.
  • Imperial College London
    Summer Undergraduate Research Opportunities Programme
    Imperial College London Jul 2017 - Sep 2017
    London
    Used Machine Learning to design a Real-time Image Processing prototype in FPGA in order to recognise the incidence direction of the object.

Pu Yang Education Details

Frequently Asked Questions about Pu Yang

What company does Pu Yang work for?

Pu Yang works for Cwt

What is Pu Yang's role at the current company?

Pu Yang's current role is Machine Learning Engineer.

What schools did Pu Yang attend?

Pu Yang attended Imperial College London, Imperial College London, Shenzhen College Of International Education.

Not the Pu Yang you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.