Wenwen Y
Change Management Consultant at ACT-ON STRATEGY
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolWenwen Y is a change management consultant based in Greater Paris with nine years of cross-disciplinary experience bridging technology, learning design, and organizational transformation. She combines a double BSc in computer science, an MSc in education science, and an MSc in organizational consulting to design people-centered change strategies for clients like LVMH, L’Oréal and VINCI Construction. Practically minded, she has led large-scale change programs—running workshops, training, stakeholder coordination and adoption measurement—while managing multi-million euro budgets and teams of 30+. Before consulting she built digital learning solutions at SKF and contributed ML engineering code to an ICPR 2020 paper implementation, reflecting both instructional design and technical fluency. Fluent in running go-live readiness and continuous improvement loops, she focuses on the human side of transformation to turn complex technical initiatives into adopted, measurable outcomes.
10 years of coding experience
Master's degree, Education science majoring in train the trainers in organizations, Master's degree, Education science majoring in train the trainers in organizations at Université Clermont AuvergneBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shanghai Normal UniversityNational Conservatory of Arts and Crafts
Chinese, English, French, Spanish
Github Skills (9)
pytorch10
machine-learning10
trainings10
modeling10
python9
encoder-decoder9
data-preprocessing9
computer-vision9
distributed-training8
Programming languages (2)
Github contributions (5)
wenwenyu/PICK-pytorch
Jul 2020 - Feb 2021
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
Role in this project:
ML Engineer
ML EngineerContributions:23 commits, 5 PRs, 21 pushes in 6 months
Contributions summary:Wenwen primarily focused on modifying the code related to model training and data processing within the PICK-pytorch repository. They made changes to the trainer, including adjustments to distributed training, metrics, and loss calculations. They also updated data loading and preprocessing components, such as modifying the documents and dataset classes. Additionally, the user adjusted the encoder and decoder modules.
graphinformation-extractionkey-information-extractiondocument-analysisgraph-neural-networks
jiangxiluning/MASTER-TF
Apr 2021 - Jul 2021
MASTER
Contributions:7 commits, 7 pushes, 4 comments in 3 months
text-recognitiondeep-learningocrocr-recognitionscene-text-recognition
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