Experienced in machine/deep learning for NLP domaine . Research and implementation experiences in machine learning and deep learning, including regression, classification, neural network etc. Experienced in opinion mining, text mining with different algorithms like TF-IDF, Word2Vec, LSTM with Attention, Bert etc in python. Well experienced in using Pandas, Sklearn, Tenserflow, Pyecharts, PyTorch, Mysql etc.

Key Skills

Text Representation Techniques
Understanding Text
Semantic Analysis
Text Classification
Clustering Skills
Scraping

Internship

Feb 2021
Present
NLP Engineer intern
PingPong Digital London, GB
PingPong Digital is an award-winning, full service Chinese digital marketing agency in the UK, US and China.
  • Development the systems by python for scraping public datas from Chinese social medias including Weibo, Zhihu, WeChat Articles etc.
  • Assisted the implementation and deployment of systems used for natural language input and processing, data collection, machine learning model training, and deployment of machine learning models.
  • Built new models to extract more value from the customer data we collect, which will help us know more about users and merchants than anyone else in marketing or retail.
  • Developed high precision classifiers and tools leveraging machine learning, regression and rule-based based models.
Dec 2019
Jun 2020
NLP research intern
CNRS Paris, FR
The French National Centre for Scientific Research is among the world's leading research institutions.
  • Supervised by Dr. Jonathan Ginzburg, cooperate with an PhD student of University of Gothenburg.
  • My responsibilities are to succeed in the implementation of the conversation model using Linear Logic by understanding the principles/rules of issue-based dialogue management.
Jun 2019
Sep 2019
NLP Engineer intern
SigFox Paris, FR
Sigfox is the initiator of the 0G network and the world’s leading IoT (Internet of Things) service provider.
  • Development of algorithms and semantic methods allowing SMS to be sent through Sigfox IoT networks. This function is key in the event of a natural disaster and unavailability of cellular networks.
Feb 2019
May 2019
NLP intern
Proxem Paris, FR
Proxem is a French pioneer in the semantic analysis of Big Data and Digital Transformation.
  • My task is to take part in the project of the Chinese and Japanese customers’ feedbacks for some clients.
  • My responsibilities are to classify if the Chinese and Japanese corpus have positive attitudes or negative attitudes towards our clients with the text mining skills.
  • Besides I should classify these corpus based on the different products appearing in the feedbacks by document processing.

Education

Aug 2019
Jul 2021
Master of Natural Language Processing in
University of Paris
Aug 2018
Jul 2019
Bachelor of Natural Language Processing in
Universite of Paris
Aug 2012
Jul 2017
Bachelor of Japanese Literature in
South-West JiaoTong University

Hobbies & Interests

  • Gymming
  • Rugby
  • Tennis
  • Football

Languages

English
(Fluent)
French
(Fluent)
Mandarin
(Native)
Japanese
(Fluent)

Career Aspiration

Over the 3 years I want in a high-level professional environment and secure a responsible career opportunity to fully utilize my training and skills, while making a significant contribution to the success of the company.

Get in touch with Haoming