Interested in machine learning, especially in deep learning Wechat:fq_Chen
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DeepLearningOCRResearchers
Data Scientist
June 26, 2026 – Present
awesome-cnn
September 22, 2018 – September 22, 2018
This is a list of cnn resources, which include tutorial, survey, reviews and seminars etc.
View Projectawesome-deep-learning-resources
September 18, 2018 – October 7, 2018
This is a list of deep learning resources, which include tutorial, survey, reviews and seminars etc.
View Projectawesome-machine-learning-courses
September 11, 2018 – September 11, 2018
awesome-machine-learning-courses — GitHub repository
View ProjectGRCNN_object_recognition
August 31, 2018 – July 30, 2018
Our journal version of GRCNN for object recognition. GRCNN achieves competitive results on CIFAR, SVHN and ImageNet
View ProjectGRCNN-for-Face
August 31, 2018 – July 30, 2018
Gated Recurrent Convolution Neural network for Face Recognition with Combined Angular Loss
View Projectlearning-resources
February 28, 2017 – September 4, 2018
This is my learning resources mainly related to big data and machine learning etc.
View Projectng2-echarts
August 11, 2016 – August 11, 2016
Angular2 library to use Echarts out of the box
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on deep learning research and resource curation. While this indicates a strong interest in the field, the lack of diverse project types (e.g., collaborative, production-oriented, business-focused) and limited description of the current 'Data Scientist' role makes it difficult to assess cultural fit for a broader organizational context. The experience level is listed as 0, despite a current 'Data Scientist' role, which creates ambiguity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.