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Assessing your cultural and operational fit
Tsinghua University
Data Scientist
June 25, 2026 – Present
pytorch-playground
April 28, 2017 – November 22, 2022
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
View Projectdeep-photo-styletransfer
April 8, 2017 – April 8, 2017
Fork from luanfujun/deep-photo-styletransfer
View Projecttorch-playground
June 26, 2016 – October 24, 2016
Lightweight training platform for troch
View Projectcnn-lstm-ctc
November 25, 2015 – August 15, 2016
An implementation of LSTM and CTC to recognize simple english sentence image
View Projectimdb
June 6, 2015 – June 6, 2015
Word2Vectorfor implementation for movie review sentiment analysis
View ProjectBag-of-words-meets-bags-of-popcorn
March 21, 2015 – June 6, 2015
Word2Vectorfor implementation for movie review sentiment analysis
View ProjectAutoMail
March 12, 2015 – March 13, 2015
Sending the leetcode problem to specified email address everyday
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive indicator for cultural fit in a research-oriented or innovative environment. However, the lack of team projects or detailed descriptions of collaboration makes it difficult to fully assess cultural fit. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, particularly in machine learning and deep learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, and there are no psychometric test results or detailed project descriptions to infer these aspects.